Description

Lead the technical engagement and production deployment of Agentic AI systems for strategic enterprise clients.

This role is hybrid.

Responsibilities

• Own the full lifecycle of AI deployment from discovery and scoping to production release and client integration.
• Build and ship production-grade Agentic AI and RAG systems, optimizing for low latency, reliability, and security.
• Embed with client engineering teams to translate business challenges into concrete technical solutions and troubleshoot complex production issues.
• Drive prototype-to-production buildouts using tight iteration cycles, utilizing AI coding assistants like Claude Code or OpenAI Codex.
• Codify successful field patterns into reusable tools and contribute feedback to the core R&D roadmap.

Required Skills

• 15+ years of hands-on experience in AI, Data, or Software engineering.
• High proficiency in Python and SQL.
• Production experience with at least one major LLM platform: Anthropic, OpenAI, Google Gemini, or AWS Bedrock.
• Experience building agentic workflows, RAG systems, and custom data pipelines in enterprise environments.
• Proven track record of shipping production systems on public clouds (AWS, Azure, or GCP), including IAM, security, and network controls.
• Fluency in modern orchestration frameworks and the ability to communicate complex AI concepts to C-level executives.

Preferred Skills

• Experience with modern data platforms such as Snowflake, Databricks, or Google BigQuery.
• Prior work in regulated verticals (BFSI, Payments, FinTech, Life Sciences) with familiarity in risk and compliance frameworks.

Key Skills

Education

Any Graduate