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Senior Associate at Axtria - Ingenious Insights — Hyderabad

Experience4–8 yrs
SalaryNot disclosed
Work modeunknown
Levelmid
Posted15 Sept 2026

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About Axtria - Ingenious Insights

Axtria - Ingenious Insights is hiring in Hyderabad in pharma biotech. This role looks for around 4+ years of experience.

Skills

Python
LLM integration
RAG
Vector databases
Databricks AI
Mosaic AI
Prompt engineering
Model evaluation
AI governance
Responsible AI

The role

A GenAI solutions developer in pharmaceutical commercial data, designing AI agents and RAG-based applications for enterprise knowledge search, insight generation, and natural-language analytics. They build retrieval pipelines with Python, LLM integration, Databricks AI, vector databases, prompt engineering, and model evaluation while applying AI governance and responsible AI practices. Their skills include Python, LLM integration, RAG, Databricks AI, vector databases, prompt engineering, LangChain, LlamaIndex, model evaluation, and AI governance.

Full job description

Position Summary

Design and develop AI/GenAI solutions for Commercial Pharma data use cases, including enterprise knowledge search, insight generation, AI agents, natural language analytics and productivity accelerators. The role works from Vizag with data, platform, governance and business teams to build secure and scalable AI capabilities.

Business / Program Context

The role is part of a Vizag-based delivery capability supporting Commercial Pharma datasets across global markets. The work may include platform operations, data engineering, data quality, reporting, AI enablement, release governance and stakeholder support for enterprise commercial data products. The role is not limited to Japan-specific datasets; Japan market familiarity may be useful but is not a mandatory baseline requirement for most positions.

Job Responsibilities

Develop GenAI applications, AI agents and RAG-based solutions for commercial data use cases.Build prompt engineering patterns, retrieval pipelines, LLM integration and model evaluation workflows.Use Databricks AI/Mosaic AI capabilities where applicable for model serving, vector search and experimentation.Integrate AI solutions with curated commercial datasets, knowledge bases, metadata and documentation repositories.Implement guardrails for security, privacy, accuracy, hallucination reduction and responsible AI usage.Partner with AI/Data Engineers, Platform Engineers and business stakeholders to industrialize AI solutions.Document solution design, evaluation metrics, prompts, data sources and governance controls.Work as part of a Vizag-based delivery team supporting Commercial Pharma datasets and global commercial data stakeholders.Collaborate with business, technology, governance, quality and offshore/onshore delivery teams across time zones.Follow Agile delivery, SDLC, documentation, release, validation, access-control and data-governance standards.Contribute to knowledge management, reusable assets, SOPs, runbooks and operational excellence initiatives.Maintain strong communication discipline, including status updates, risk identification, issue escalation and timely stakeholder follow-through.

Required Work Experience

4–8 years of relevant experience aligned to the role and seniority level.Prior experience in pharmaceutical, life sciences, healthcare analytics, commercial data platforms or enterprise data programs.Experience working in a global delivery model with structured governance, documentation, SLAs and stakeholder communication.Ability to work from Vizag and collaborate effectively with India, global and client teams.

Technical / Functional Skills

PythonLLM integrationRAG and Vector DatabasesDatabricks AI / Mosaic AIPrompt engineeringLangChain/LlamaIndex or equivalentModel evaluationAI governance and responsible AI

Commercial Pharma Dataset Exposure

Pharmaceutical commercial data platformsSales, prescription, claims, CRM and omnichannel datasetsCustomer master, HCP/HCO, product master, territory and alignment datasetsCommercial KPIs, field force effectiveness, market share and promotional effectivenessData quality, reconciliation, lineage, metadata and controlled release processes

Desirable Skills

Experience supporting global pharma companies or commercial data programs.Exposure to Eisai-like commercial operating models, field reporting, sales operations and analytics use cases.Japan market dataset exposure is preferred but not mandatory unless the assignment requires direct Japan business engagement.Strong written and verbal communication skills; ability to explain data, risks, defects and business impact clearly.Certifications in Databricks, Informatica IDMC, Azure/AWS, Scrum, ITIL, Tableau/Power BI or AI/ML are preferred depending on role.

Success Measures / KPIs

Secure, useful and governed AI solutions with measurable productivity, search, analysis or decision-support value.

Indicative 30 / 60 / 90 Day Expectations

First 30 days: complete onboarding, understand commercial data landscape, delivery processes, documentation standards and role-specific tools.First 60 days: independently contribute to assigned workstreams, support issue resolution, produce required artifacts and participate in governance forums.First 90 days: demonstrate measurable ownership, improve delivery quality, identify improvement opportunities and support stable operations or project outcomes.