Location- Chennai/Mumbai/Pune/Hyderabad/Kochi/Coimbatore

Budget-25 lpa

Hybrid Model - 3 days in a week

Only immedaite joiners can apply who can join this month.

Engineering Lead:

Key responsibilities

Scrum Master

- Facilitate sprint planning, daily stand-ups, backlog refinement, sprint reviews and retrospectives.
- Coach the team and stakeholders on Scrum and Agile practices, and keep improving team maturity.
- Identify, track and remove impediments; escalate risks and dependencies early.
- Track and report velocity, burndown, sprint goals and predictability in Jira or Azure DevOps.
- Protect the team's focus and foster a collaborative, accountable, psychologically safe culture.
- Coordinate with other Scrum teams on cross-team dependencies and release plans.

Business Analyst
- Elicit, analyse and document business requirements through workshops, interviews and process reviews.
- Translate requirements into epics, user stories and transparent acceptance criteria.
- Partner with the Product Owner to groom, prioritise and maintain a ready backlog.
- Produce process maps, use cases, data flows and functional specifications as needed.
- Maintain requirements traceability from business need through design, test and release.
- Act as the bridge between business stakeholders and engineering, clarifying scope and managing change.

AI Lead
- Define and drive the team's AI roadmap: identify, assess and prioritise AI and GenAI use cases with measurable business value.
- Lead proofs of concept and production rollouts of AI features (LLMs, RAG, agents, ML models) on Azure AI Foundry with the engineering team.
- Champion AI-assisted engineering (GitHub Copilot, Microsoft 365 Copilot, test generation, documentation, requirements analysis) to raise team productivity.




- Set guidelines for responsible AI: data privacy, security, model evaluation, bias and governance.
- Evaluate AI tools, platforms and vendors, and recommend what to adopt.
- Upskill the team through demos, knowledge sessions and reusable patterns.

CI/CD
- Oversee the health of build and deployment pipelines (GitHub Actions, Azure DevOps Pipelines).
- Ensure quality gates, automated testing and release-readiness criteria are in place.
- Work with DevOps to reduce lead time and increase deployment frequency.

Process workflows
- Design and document team and business workflows, including definition of ready and definition of done.
- Identify bottlenecks and introduce automation or tooling to streamline delivery.
- Keep process documentation and working agreements current.

Functional
- Build and apply domain knowledge of the product and business area.
- Validate delivered features against functional requirements and support UAT.
- Serve as the functional point of contact for stakeholder questions and demos.

Required qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.
- 812 years in software delivery, including 3+ years as a Scrum Master, Business Analyst or delivery lead.
- Hands-on experience running Scrum and Kanban teams with agile tooling (Jira, Confluence, Azure DevOps).
- Strong requirements engineering: user stories, acceptance criteria, process modelling (BPMN, UML).
- Practical experience applying AI and GenAI in delivery: LLM-based solutions, prompt engineering, AI coding assistants.
- Working knowledge of CI/CD concepts and tools (Git, Jenkins, GitHub Actions or Azure Pipelines).
- Excellent communication, facilitation and stakeholder management skills.

📌 Engineering Lead-AI (Chennai)
🏢 Orion Systems
📍 Chennai