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Associate Director (Agentic AI Architect)

Axtria · Noida

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Employer requisition: 10826

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Collected role description

Axtria India opening for Associate Director (Agentic AI Architect) in Noida, India. Job Description Print Preview Apply Save Job Return to List Position Summary We are seeking senior Data Engineering leaders who have evolved into hands‑on Gen AI / Agentic AI practitioners . This role is not for pure research, academic, or experimentation-focused profiles. The expectation is production-grade delivery , grounded in strong data engineering fundamentals and scaled enterprise systems. Job Responsibilities Lead Agentic AI Delivery at Enterprise Scale Lead end-to-end architecture, design, and production deployment of Agentic AI solutions for complex enterprise and Life Sciences use cases Build, deploy, and optimize multi-agent systems involving planning, reasoning, orchestration, tool usage, and memory management Drive Gen AI implementations beyond POCs into stable, scalable, and observable production systems Deep Integration with Enterprise Data Platforms Architect and integrate Agentic AI systems with Databricks, data lakes, data warehouses, streaming platforms, and enterprise APIs Design and optimize scalable ETL / ELT pipelines (batch and streaming) to power AI, ML, and Gen AI workflows Ensure data quality, lineage, freshness, and governance for AI-driven applications AI Architecture, Optimization & Governance Define architecture patterns, guardrails, and governance frameworks for enterprise Agentic AI Optimize agent workflows through prompt engineering, tool selection, orchestration strategies, and memory design Define approaches for context management, token efficiency, latency optimization, and cost control Ensure reliability, observability, security, and performance of AI systems in production Leadership & Stakeholder Engagement Partner with business stakeholders to identify high-impact AI use cases and translate them into scalable solutions Mentor and lead cross-functional teams across Data Engineering, AI/ML, and Application Engineering Participate in client discussions , roadmap definition, solutioning, proposals, and Agentic AI thought leadership Education BE/B.Tech Master of Computer Application Work Experience Core Background (Non‑Negotiable) 12+ years of experience with a strong foundation in Data Engineering , evolving into AI / Gen AI delivery roles Proven experience delivering production-grade Gen AI / Agentic AI solutions in real enterprise environments (Candidates limited to academic, research, or POC-only experience are not suitable) Data Engineering Excellence Deep expertise in Databricks (Py Spark, Delta Lake, workflows, optimization) Extensive experience designing, building, and scaling ETL pipelines (batch and streaming) Strong programming skills in Python and SQL Hands-on experience with cloud platforms (AWS, Azure, or GCP) Agentic AI & Gen AI Capabilities Hands-on experience with LLM frameworks such as Lang Chain, Llama Index, Auto Gen, Crew AI, or equivalent Real-world implementation of multi-agent systems and autonomous workflows Experience building RAG-based, tool-integrated AI solutions Practical knowledge of model fine-tuning / adaptation techniques Strong understanding of: Prompt engineering LLM orchestration and tool usage Memory handling, agent context, and workflow optimization Skills That Give You an Edge Experience with enterprise-scale AI transformations , preferably in Life Sciences / Pharma Exposure to LLMOps / MLOps (monitoring, evaluation, governance, drift detection) Strong understanding of AI evaluation, guardrails, and Responsible AI practices Ability to translate business problems into scalable, governed AI solutions Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Capability Building / Thought Leadership Databricks Py Spark Python Apply Save Job Return to List Email this job to a friend   The job has been sent to Please provide the information below Job title: * Your friend’s email address: Message: * Confirm you are not a robot: Send Cancel

Collected experience requirement

12+ years