Job Summary
Seeking a Senior AI Engineer with strong expertise in Generative AI, Agentic AI, AIDLC, and Spec-Driven AI Development. The role will focus on designing, building, and operationalizing enterprise AI solutions while leveraging modern cloud data platforms..
Key Responsibilities:
- Lead end-to-end AI solution delivery using the AI Development Lifecycle (AIDLC).
- Design and implement LLM, RAG, and Agentic AI solutions for enterprise use cases.
- Drive spec-driven development, translating business requirements into technical specifications, evaluation criteria, and production-ready AI solutions.
- Develop AI applications using Azure OpenAI, Databricks, and modern AI frameworks.
- Establish AI governance, model evaluation, monitoring, and responsible AI practices.
- Build and support scalable data pipelines for AI and analytics workloads.
Skill Requirements:
Required Skills
- 8+ years in Software Engineering, Data Engineering, or AI Engineering.
- Hands-on experience with:
- Generative AI & LLMs
- Agentic AI
- RAG Architecture
- Prompt Engineering
- AIDLC
- Spec-Driven AI Development
- Python
- Azure OpenAI
- Databricks
- PySpark & SQL
- Experience with production deployment, MLOps, monitoring, and governance.
Preferred Skills
- Snowflake
- Azure Functions
- Terraform
- GitHub Actions
- Artifactory
- SonarQube
- Healthcare domain experience
Key Responsibilities
2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data.
3. Analyze And Mine Large Datasets To Identify Trends And Patterns, Utilizing Advanced Analytics Techniques To Interpret Findings And Provide Actionable Recommendations Based On Experimental Results.
4. Collaborate With Cross-Functional Teams To Identify Opportunities For Utilizing Data Insights To Formulate Strategic Business Solutions That Enhance Operational Efficiency And Product Offerings.
5. Create Comprehensive Visualizations And Reports Using Data Visualization Tools To Communicate Complex Analysis And Results Clearly, Enabling Informed Decision-Making For Customers And Stakeholders.
Skill Requirements
2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
4. - In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
5. - Excellent Collaboration And Communication Skills To Work With Diverse Teams And Stakeholders.