Databricks Architect - Artificial Intelligence

Axtria :

Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide.

Job Responsibilities :

- Serve as the single point of contact (SPOC) for all Databricks - Axtria AI engagements, owning the technical side of the partnership across pursuits, delivery and co-sell activities

- Build and maintain strong relationships with key Databricks technical and account teams, including Solution Architects, Field Engineering and Partner leads, through a regular engagement cadence

- Review Databricks AI solutions and reference architectures ahead of client meetings and RFP submissions to ensure technical accuracy, differentiation and alignment with Databricks best practices

- Lead discussions on Databricks AI architecture, including Mosaic AI, Agent Bricks and agentic solutions, context engineering (Vector Search, Unity Catalog, feature and knowledge layers) and production deployment

- Coordinate Databricks-based AI solutions and partnership activities across client engagements, ensuring consistent messaging and clear positioning of Axtria's value alongside Databricks

- Define patterns for LLMOps/AgentOps on the Lakehouse, covering MLflow tracing and evaluation, model serving, guardrails, governance and cost management

- Partner with Axtria pre-sales, delivery and data science teams to move Databricks-based GenAI/Agentic proofs-of-concept into secure, scalable production deployments

- Create technical documents, reference architectures and joint solution collateral, and interact with clients and Databricks leadership on GenAI capabilities and use cases

Qualification :

- B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college OR Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college

Must have Skills :

- 10 - 15 years of experience designing, developing and deploying data and AI/GenAI solutions on Databricks, with prior exposure to partner, alliance or pre-sales architect roles

- Hands-on experience with the Databricks Lakehouse: Delta Lake, Unity Catalog, Mosaic AI (Model Serving, Vector Search, Agent Framework), MLflow and Databricks workflows

- Deep understanding of LLMs, RAG, context engineering, MCP and multi-agent orchestration, along with evaluation and observability of agentic systems in production

- Python, PySpark and SQL hands-on experience; working knowledge of cloud platforms (Azure/AWS), CI/CD, infrastructure as code and data security and governance

- Excellent stakeholder management and executive communication skills, with proven ability to engage Databricks technical and account teams and client CXOs and to support RFP responses

Skills that give you an edge :

- Databricks certifications such as Generative AI Engineer Associate, Data Engineer Professional or Machine Learning Professional

- Life sciences or pharma background, with exposure to commercial analytics, medical or R&D AI use cases and regulated (GxP/HIPAA) environments

- Experience with Databricks co-sell motions, Partner Connect and Marketplace; strong analytical skills to model complex business requirements

We will provide :

- Offer an inclusive environment that encourages diverse perspectives and ideas

- Deliver challenging and unique opportunities to contribute to the success of a transforming organization

- Opportunity to work on technical challenges that may impact across geographies

- Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications

- Sponsored Tech Talks & Hackathons

- Possibility to relocate to any Axtria office for short and long-term projects

- Benefit package: Health benefits, Retirement benefits, Paid time off, Flexible Benefits, Hybrid / FT Office / Remote

Skills

Artificial Intelligence, Databricks, Generative AI, Delta Lake, Python, PySpark, SQL, Agentic AI, LLM, Azure, AWS