Senior Associate - Forward Deployed AI Engineer
Salary not listed • Bengaluru, Karnataka, India • Full-time
Posted 3d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
As a Senior Associate - Forward Deployed AI Engineer, you will be responsible for translating regulatory and operational needs into practical, technology-enabled solutions. This role sits at the intersection of business, data, technology, and AI, combining stakeholder engagement, business analysis, solution design, rapid prototyping, and hands-on delivery. You will independently deliver defined use cases, collaborate closely with business and technology partners, and apply a combination of process improvements, data, analytics, automation, and AI to enhance outcomes across Compliance and Risk functions.
Responsibilities
- Partner with stakeholders to understand business processes, pain points, regulatory requirements, and desired outcomes.
- Conduct business and data analysis, document requirements, define use cases, and map processes.
- Assess solution options and recommend appropriate combinations of process improvements, data, analytics, automation, and AI.
- Design, prototype, test, and validate technology-enabled solutions, including copilots, agents, workflow automation, knowledge assistants, and decision-support tools.
- Translate business requirements into solution designs, user stories, acceptance criteria, and implementation plans.
- Collaborate with Technology, Data, Architecture, and Control partners to integrate and implement solutions.
- Support demonstrations, user testing, training, feedback collection, and adoption activities.
- Contribute to defining success metrics and evaluating solution performance.
- Ensure deliverables align with regulatory, governance, privacy, and risk management requirements.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Business Analytics, Data Science, or a related field.
- 5+ years of experience delivering business, technology, analytics, automation, or AI-enabled solutions.
- Strong business analysis skills, including stakeholder interviews, requirements elicitation, use-case definition, process mapping, and solution design.
- Strong data analysis, process improvement, business process reengineering, and problem-solving capabilities.
- Experience independently designing, prototyping, validating, and delivering solutions.
- Experience with Large Language Models, Generative AI, prompt engineering, Retrieval-Augmented Generation, AI agents, and enterprise AI platforms.
- Familiarity with Knowledge Graph concepts and graph-based approaches.
- Strong stakeholder management, consulting, communication, and presentation skills.
- Ability to manage workstreams from requirements through implementation.