Must Have Skills/Project Experience/Certifications:

- 9.5+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.

- Hands-on experience with LLM/GenAI engineering patterns (RAG, tool calling, agent orchestration, evaluation).

- Practical experience with MLOps/LLMOps: CI/CD, experiment tracking, model/prompt versioning, monitoring/observability.

- Hands-on experience building production LLM workflows with LangChain or LangGraph, specializing in advanced state management, routing, and robust error handling.

- Proven ability to implement resilient tool execution, sophisticated memory/context strategies, and schema-validated structured outputs for scalable AI applications.

- Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing).

- 5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement.

- 3+ years of experience with AI/ML;

experience with the latest GenAI models is preferred.

- Deep understanding of methodologies and tools such as XP, Lean, Secure,



DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly.

- Proven ability to drive adoption of modern engineering practices at scale, including cross-functional collaboration.

- Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning.

- Strong understanding of security, privacy, and compliance requirements in enterprise software engineering.

- Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments.

- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care

Good to Have Skills/Project Experience/Certifications:

- Strong understanding of Life Sciences regulatory frameworks (e.g., GxP, FDA, EMA) and data privacy regulations (HIPAA, GDPR), coupled with practical knowledge of pharmaceutical, biotechnology, and medical device operation

- US/Global Healthcare or pharmaceutical or Medtech industry/consulting digital experience

- Experience with edge AI deployment and optimization

- Familiarity with specialized AI domains (computer vision, robotics, speech recognition)

Job Location: Hyderabad, Bengaluru, Pune, Chennai

Work Mode: Hybrid

📌 Product AI Architect (Bengaluru)
🏢 Deloitte US-India Offices
📍 Bengaluru