Applied AI Architect
Remote • Delhi, India • FullTime
Posted 10mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As an AI Architect, you will be the senior technical owner for a named portfolio of customers, acting as the primary technical counterpart to their leadership teams. You will shape each customer's AI strategy and guide their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions, translating business priorities into a focused use-case portfolio and an actionable adoption roadmap. You will remain accountable for the technical outcome while bringing in the right specialists for deeper expertise and execution.
Responsibilities
- Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of customers.
- Partner with Account Directors on account strategy, owning the technical account plan, milestones, and expansion opportunities.
- Lead discovery with executives and technical teams to identify and prioritize use cases tied to business outcomes.
- Develop Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
- Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value.
- Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, and success measures.
- Develop trusted relationships and technical champions across customer stakeholders.
- Qualify and coordinate support from various delivery teams.
- Remain accountable for technical progress and customer outcomes.
- Track adoption, usage, account health, production readiness, and measurable customer impact.
- Apply industry or digital-native expertise to recognize repeatable patterns and identify expansion opportunities.
- Share customer insights with Product, Engineering, and Research teams.
Requirements
- Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
- Experience guiding enterprise organizations from technical evaluation through production adoption and measurable business impact.
- Ability to build credibility with senior technical and business leaders and communicate effectively with hands-on engineers.
- Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- Ability to prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
- Sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
- Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses.
- Clear communication skills and ability to turn ambiguity into a practical technical narrative, executive decision, or action plan.
- Collaborative work style and a commitment to helping organizations deploy advanced AI responsibly.
Benefits
- Hybrid work model (3 days in office per week)
- Relocation assistance for new employees