Forward Deployed Software Engineer

Axtria; Hyderabad, Bengaluru, Delhi; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Axtria seeks a senior AI Architect to own end‑to‑end production AI systems within pharma client environments. You will lead multi‑agent architectures, integrate Databricks, Snowflake, AWS, and Claude/Anthropic stacks, and ensure governance and regulatory compliance across deployments.

You will directly manage engineering teams, defend design decisions at senior client levels, and translate technical outcomes into business value for pharmaceutical programs.

Qualifications

• Translate pharma business problems into AI-architected solutions.
• Define and defend scalable, production‑grade AI systems for regulated environments.
• Lead technical workstreams and manage cross-functional engineering teams.

Responsibilities

• Embed within pharma client organisations and own end‑to‑end AI production on client infra.
• Lead engineers and agents under your architecture and delivery ownership.
• Maintain technical client relationships at senior levels and translate outcomes to business terms.
• Architect multi‑agent AI systems for pharma, including RAG, memory, and MLOps pipelines.
• Ensure compliance with HIPAA, GDPR, and FDA AI/ML guidance in production systems.
• Stay current with agentic AI frameworks and translate capabilities into deployment decisions.
• Translate pharma problems into AI‑solvable architectures with domain‑defensible outputs.

Skills

AI Architecture

MLOps

Regulatory compliance

Client leadership

Tools

Databricks

Snowflake

AWS SageMaker

Claude/Anthropic API

Job description

KEY RESPONSIBILITIES

Embedded Client Delivery

• Embed directly within pharma client organisations operating as a trusted technical peer, not a vendor — and own the design, build, and deployment of production AI systems end-to-end on the client's own infrastructure
• Lead the technical workstream and direct teams of engineers — Agent Pipeline Engineers and AI-Augmented Engineers — under your architecture and delivery ownership
• Hold the technical client relationship at Director, VP, and CDO level: scoping problems, presenting architecture trade-offs, defending design decisions under scrutiny, and translating technical outcomes into business language

AI Architecture and Engineering

• Architect multi-agent AI systems for pharma environments — spanning orchestration patterns, tool and function integration, retrieval-augmented generation, memory architectures, human-in-the-loop design, evaluation pipelines, and production MLOps
• Build on the technology stacks clients already operate: Databricks (Delta Lake, Mosaic AI, Genie), Snowflake (Snowpark, Cortex AI, Cortex Analyst), AWS (Bedrock Agents, SageMaker), and the Claude and Anthropic API stack with Model Context Protocol
• Design and implement AI evaluation frameworks appropriate for regulated pharma environments — probabilistic quality thresholds, RAGAS, LLM-as-judge, adversarial red-teaming, and audit-trail-compliant output governance
• Ensure systems are production‑grade: observable, maintainable, secure, and compliant with pharma data governance requirements including HIPAA, GDPR, and applicable FDA AI/ML guidance
• Stay current with the agentic AI ecosystem — frameworks, model capabilities, evaluation techniques, and orchestration protocols — and translate emerging capability into deployment‑relevant technical decisions

Pharma Domain Translation

• Translate pharma commercial and clinical business problems into AI‑solvable architectures without requiring a domain primer from the client — the depth of your domain expertise is part of what you bring to the engagement
• Validate that AI outputs are accurate against pharma business logic and commercial or clinical norms — not just technically correct but domain‑defensible and explainable to the end users who act on them
• Serve as the connective layer between the client's business problem and the technical solution, eliminating the scoping ambiguity that causes most pharma AI deployments to stall before production