Senior AI Lead / Architect

Requirement/Must Have:

• 10 15+ years of experience in software engineering, data engineering, or related technical roles.
• 5+ years of experience working with AI/ML systems, including GenAI and LLMs.
• Strong expertise in LLMs, GenAI ecosystems, and AI solution architecture.
• Experience with model integration and APIs (e.g., OpenAI, Azure OpenAI).
• Strong understanding of data pipelines and data architecture.
• Proven experience delivering AI solutions in enterprise environments.

Experience:

• Experience working cross-functionally with product and engineering teams.
• Hands-on experience in prototyping, model integration, and validation.
• Experience designing scalable and reusable AI solution patterns.

Responsibilities:

• Partner with product and engineering leadership to identify and prioritize AI/GenAI use cases.
• Define and design scalable AI solution architectures across applications and workflows.
• Provide hands-on technical leadership including prototyping and solution validation.
• Guide teams on best practices for integrating AI into development workflows.
• Develop reusable AI frameworks, accelerators, and implementation patterns.
• Collaborate with data teams on data readiness, governance, and model performance.
• Establish frameworks for evaluating and deploying AI use cases at scale.

Should Have:

• Experience working in regulated or data-sensitive environments.
• Familiarity with AI platforms such as Azure AI, Databricks, or similar.
• Experience enabling structured AI adoption within organizations.

Skills:

• Strong problem-solving and analytical skills.
• Ability to translate complex AI concepts into business value.
• Strong collaboration and stakeholder management abilities.
• Strategic thinking with hands-on execution capability.

Qualification and Education:

• Bachelor s degree in Computer Science, Engineering, or a related field.
• Advanced degree preferred.