Lead Engineer - Artificial Intelligence

Description :

- Design, build, and deploy AI-driven and cloud-native applications using Python, C#, ASP.Net, and .Net Core.

- Integrate GenAI, LLM, and ML algorithms with Azure AI Foundry, LangChain, or similar frameworks.

- Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle

- Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions

- Improve operations by conducting systems analysis; recommending changes in guidelines and procedures

- Update job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations

- Actively participates hand on in product development and roadmap definition

- Develop prototypes to prove the solutions business value to the Product Requirements

- Represents technical viewpoint for various technologies during strategic planning

- Respond to stakeholder requirements from a requirements & technology standpoint and discuss concepts, solutions, technical feasibility & risks with them

- Support Developers by providing advice, coaching and educational opportunities

- Participate in knowledge-sharing code reviews

- Adhere to the Code of Conduct and be familiar with all compliance policies and procedures

Qualifications :

- Bachelors degree or equivalent combination of education and experience required.

Experience :

- 10+ years of professional experience, including 5+ years in software engineering and 2+ years in applied AI, with a strong record of leading teams and delivering high-impact products.

- Healthcare domain experience: claims, EHR/HL7/FHIR, coding (ICD/CPT), risk adjustment, quality measures, de-

identification

- Experience working with global team and working in a team-oriented, collaborative environment

- Experience with agile development

- Manage team members and meet client / business teams expectations.

- Maintain process compliance and own complete project execution.

Required skills and knowledge :

- Experience working with Python, PyTorch, TensorFlow, or similar frameworks

- Experience with integrating GenAI/LLM/ML algorithms, with Azure AI Foundry/MCP/LangChain

- Have worked on ML flow models - supervised or unsupervised, and GenAI integrations with Azure AI Foundry or LangChain.

- Knowledge in Modern data technologies e. Delta Lake, Azure Data Lake, Blob storage, NoSQL DB, Databricks, PySpark / Scala/ Spark SQL

- Advanced coding skills in C# ASP.Net, .Net Core

- Strong working knowledge in MS SQL and REST API

- Experience in Cloud native development using Azure / AWS / GCP

- Expert in Git/GitLab/BitBucket, CI/CD pipeline management

- Knowledge of Integration with SSO token authentication and authorization ADFS/ MS Entra ID / Auth 0

- Knowledge of application logging, monitoring

- Expert on Object-Oriented Programming and design principles

- Containerization with Docker, Kubernetes, GenAI, Agentic AI, Terraform

Good to have technical skills :

- Strong Core ReactJS fundamentals (hooks, routing , state management, lazy loading)

- React Native, Angular, NextJS, Vue, Cypress, Playwright

Preferred skills and knowledge :

- Ability to multi-task and stay organized in a dynamic work environment

- Possesses a positive attitude and ability to think outside the box

- Understands and anticipates the possible failures in a growing system and knows how to prevent them

- Utilizes source control with multiple concurrent branches

- Ability to write routine reports and correspondence

- Ability to communicate effectively verbally and in writing