Senior AI Engineering Jobs

MongoDB is seeking an experienced Senior Software Engineer to join the Enterprise Architecture team, focusing on AI experimentation. This role involves partnering with various internal teams to explore, prototype, and validate emerging AI capabilities before they are integrated into formal roadmaps. The ideal candidate will be comfortable operating in ambiguity, independently solving complex engineering problems, and iterating quickly on ideas, especially when requirements are unclear. This position is based in Gurugram and follows a hybrid working model.

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. You will gain breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside leading AI companies and a direct pathway to advanced engineering programs.

JPMorganChase is seeking an Applied AI ML Director to join their Commercial & Investment Bank team in Seattle, WA. This role focuses on transforming payments through classical and cutting-edge AI/ML technologies. You will be responsible for strategizing and building innovative solutions to enhance trust, safety, and operational efficiency, owning projects end-to-end from problem framing and data strategy to production deployment and measurement. While setting technical direction, you will remain hands-on and collaborate with product, engineering, data, risk, and compliance stakeholders.

Capital One is seeking a Senior Staff AI Engineer to join their Agentic AI Platform team. This role is central to bringing the company's vision for AI to life, working hand-in-hand with partners to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and deliver value to millions of customers. The team's AI models and platforms empower associates across Capital One to enhance products with AI in responsible and scalable ways, driving high-leverage impact. You will help bring the transformative power of emerging AI capabilities to reimagine how Capital One serves its customers and businesses.

$286k - $327k

Parloa

Parloa is shaping the future of customer experience with agentic AI, powering billions of interactions for global enterprise brands. As a Sr Partner Agent Architect, you will be at the forefront of this revolution, working with strategic partners and enterprise customers to design, implement, and scale AI-driven customer experiences. This consultative, customer-facing role involves guiding clients through solution discovery, end-to-end architecture, enterprise integration, and implementation strategy for AI Agents. You will focus on architecting scalable integrations, applying systems thinking to build reliable AI solutions, and shaping the conversational experience layer through prompt engineering and LLM concepts.

Salient

Salient is seeking a Telephony Infrastructure Engineer to take ownership of the voice platform that powers our AI agents. This role involves managing the SIP edge, Asterisk, voice audio and dialing layers, and call servers. You will collaborate with AI agent engineers, telephony specialists, customer success teams, and carriers to ensure the platform's reliability, safety, and scalability for future growth. This is a hands-on position where you will complete ongoing projects, enhance platform stability, and prepare it to handle significantly increased call volumes. Additionally, you will design and implement customer telephony integrations, working towards making these processes more self-serve.

$200k - $300k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI trainers. We are a growing team of researchers, engineers, and operators backed by significant VC funding. We are seeking a Research Manager to lead research focused on enhancing HUD's agent training data and evaluations for frontier models. This role involves guiding research engineers through complex projects, translating findings into scalable methods, and staying technically engaged while ensuring rigorous experimentation and impactful results. The ideal candidate will possess a deep understanding of model training dynamics, including how signals, data, and evaluation design influence outcomes.

$120k - $295k

Snorkel AI

Snorkel AI is seeking an early member for its ML & Research Engineering team to help build the data and environments behind high-performing frontier and agentic AI. You will be responsible for making the process of generating and evaluating frontier AI data faster, cheaper, and more rigorous using ML and AI. This role involves studying data generation and evaluation, forming and validating hypotheses with production data, and shipping scalable solutions. You will play a key part in shaping the direction, standards, and growth of the discipline.

$208k - $315k

Our Consumer Bank AI Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across field workforce effectiveness, customer engagement, and banker-led growth. As an Applied AI Modeling Vice President in this team, you will build and deploy advanced AI/ML models that measurably improve banker sales effectiveness and customer outcomes. Your models will help bankers deliver the right outreach at the right time to our customers, driving deposit growth, increasing customer retention, and strengthening relationships. You will operate in a highly governed environment and partner closely with product, UX, operations, and technology teams to translate modeling innovation into field-ready tools that bankers trust and adopt.

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

As a Data Scientist on the Commercial Bank Applied AI team, you will be at the forefront of embedding Generative AI directly into core business processes. You will specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, and Tool-Calling Frameworks. This role is ideal for someone deeply passionate about the practical applications of Generative AI with hands-on experience in machine learning and AI, gained through professional industry work or rigorous academic research. You will partner with a cross-functional team to deliver Generative AI solutions, leveraging a broad stack of technologies to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$136k - $155k

The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes, specializing in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, and Context Engineering. As a Data Scientist on this team, you will partner with a cross-functional group of experts to deliver Generative AI solutions, leveraging a broad stack of technologies including Python, LangChain, AWS, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will be involved in all phases of Generative AI model and pipeline development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$162k - $185k

We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. You will help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences.

$179k - $205k

Capital One is seeking a Sr. Staff AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI in responsible and scalable ways. You will help reimagine how we serve customers and businesses by leveraging emerging AI capabilities and building world-class applied science and engineering teams.

$286k - $327k

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. As a Managed Services - AI Solution Developer, you will engage with business stakeholders to understand processes, challenges, requirements, and desired outcomes. Within our Assurance practice, you will focus on transitioning and running services, managing delivery teams, and optimizing managed services processes, tools, and services. This role involves translating business needs into structured use cases, solution designs, user stories, acceptance criteria, and success measures. You will design and build AI solutions using Microsoft Copilot, configure agents, and integrate systems using APIs and connectors. Your work will support deployment, documentation, user adoption, and continuous improvement while adhering to security and responsible AI standards.

Chai Discovery

Chai Discovery is building the computer-aided design suite for molecules, with major pharmaceutical companies already using their platform to accelerate drug discovery. They are at the forefront of reinventing life sciences through AI, developing frontier models that understand biochemical structure and interaction. This role is an opportunity to push the boundaries of AI drug design alongside a skilled and dedicated team.

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract signals about how hands and objects interact, temporal events, and clip reliability for training frontier models. We are a small, well-backed team from leading tech companies, aiming to revolutionize how Physical AI models are trained by providing reliable, curated datasets derived from vast amounts of video footage. This role is based in our SF Mission District office, with a 4-day work week. As Technical Lead, Multimodal Research, you will drive the technical vision for Eventual's understanding of video data. You will own the strategy for selecting, prototyping, and deploying models and representations at scale, ensuring they meet rigorous evaluation standards and cost-efficiency targets. This is a senior individual contributor role focused on setting research direction and making key architectural decisions, while remaining hands-on with research and experimentation.

$150k - $300k

OpenAI

We are seeking a Machine Learning Engineer to spearhead the technical direction for ML-powered experimentation and insights. This role involves building production systems that leverage privacy-protected data to generate evidence-backed insights and inform decision-making, helping teams identify promising ideas for live testing. This is a comprehensive, end-to-end role where you will work across various domains including ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user-facing product experiences. The core challenge lies in ensuring that insights and predictions are not only plausible but also traceable, calibrated, useful, and safe enough to guide real product decisions. You will design systems that explicitly address uncertainty, backtest against historical data, compare predictions with online results, learn from discrepancies, and gracefully abstain when evidence is insufficient, all while maintaining clear review and approval processes as automation advances.

$437k - $485k

LangChain is seeking an experienced frontend engineer to develop and enhance new features on LangSmith, their enterprise platform for LLM application observability, testing, and debugging. This role is crucial for building the foundation of agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. The LangSmith team owns and builds the core platform for observability, evaluation, and production reliability of AI systems, from tracing and annotation to run rules and evaluations.

$170k - $235k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models at scale. As a Tech Lead for the Applied AI Backend Systems, you will own critical services within our platform, focusing on designing data models, building APIs and services, and developing data pipelines that ensure reliable, fast, and observable operations. This is a hands-on build role where you will take ambiguous problems, make design decisions, ship to production, and mentor other engineers.

$250k - $500k

As a Senior Lead Software Engineer within the Consumer and Community Banking - Digital Technology team, you will be a key member of an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will leverage your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications, driving significant business impact. This role involves architecting and governing AI-enabled engineering workflows to boost delivery speed, code quality, and operational outcomes, while also influencing leaders and defining enterprise-scale AI-enabled architecture for next-generation customer experiences.

Innodata is seeking a Research Scientist to focus on the challenging area of video and multimodal AI models. This role involves partnering directly with customers and frontier labs to advance the science behind video understanding, video-language, and video-generation models. You will be instrumental in defining how data is designed, structured, and evaluated for these cutting-edge AI systems, ensuring that the data collected and the evaluations performed drive meaningful progress. Your work will directly influence the direction of research and development in this rapidly evolving field.

$160k - $185k

Databricks

<h1>Staff Software Engineer - Agent Quality</h1> <h4>P-1567</h4> <p>At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.</p> <p>The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.&nbsp;</p> <p>As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.</p> <h2>The impact you will have</h2> <ul> <li>Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.</li> <li>Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.</li> <li>Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.</li> <li>Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.</li> </ul> <h2>What we look for</h2> <ul> <li>6+ years industry experience building software systems</li> <li>Strong Python programming skills, with experience building production or research infrastructure</li> <li>Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity</li> <li>Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications</li> <li>Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms</li> <li>A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams</li> </ul> <h2>Nice to have</h2> <ul> <li>Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure</li> <li>Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$265,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

$200k - $265k

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k