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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and deployment of production-grade agentic AI solutions integrated with enterprise systems across business units.
Establish enterprise-wide standards, reference architectures, and safety guardrails for scalable, secure, and compliant agentic AI development.
Translate complex business workflows into automated, agent-driven processes ensuring operational reliability and measurable business impact.
Minimum Requirements
10+ years of software engineering experience.
5+ years building AI and machine learning systems; 3+ years delivering AI solutions creating real business results in production.
Proficiency with large language models, prompt engineering, agent frameworks (e.g., LangChain, LlamaIndex), Retrieval-Augmented Generation, and Python, including frontend skills (React, TypeScript).
Experience integrating AI with enterprise systems (CRMs, ERPs), deep knowledge of security, compliance, data governance, cloud platforms (Azure, GCP), containerization, CI/CD, and monitoring tools.
Ideal Candidate Profile
Experienced technical leader who prioritizes delivering working, reliable AI solutions over theoretical design debates, capable of handling production incidents.
Pragmatic problem-solver energized by user engagement and practical automation in enterprise environments, adept at navigating ambiguity and constraints.
Strategic thinker who builds repeatable systems, sets standards, mentors teams, and balances innovation with enterprise security and governance requirements.