Description#LI-NS1
Principal AI SDLC Acceleration Architects to help customers prove the value of VelocityAI SDLC through hands-on architecture, AI-enabled engineering, and measurable delivery acceleration.
This role is for senior architects and engineers who can modernize software delivery using AI.
The focus is not only on accelerating traditional Scrum-based SDLC, but also on helping customers adopt intent-driven, increasingly autonomous delivery models where AI tools, agents, automation, and human governance turn business or product intent into validated software outcomes.
The ideal candidate is a hands-on builder, deep architect, strong communicator, and first-principles thinker who can engage both engineering teams and executive stakeholders.
Requirements Good-to-Have Skills or Attributes Tools & Frameworks:
Experience with tools and frameworks such as Claude Code, Google Cloud Code, OpenAI Codex, GitHub Copilot, Cursor, Windsurf, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP, RAG, or vector databases.
Customer Engagement: Experience in customer-facing technical roles such as principal architect, field engineer, solution architect, forward-deployed engineer, technical advisor, or pre-sales engineering leader.
AI Governance: Strong understanding of AI governance, human-in-the-loop controls, responsible AI, security, observability, and production readiness for AI-enabled systems.
Qualifications - Bachelor's degree in a relevant technical field; a master's degree is a plus.
- Proven experience managing technical projects especially in BFSI domain and preferably in Talent environments.
- Strong understanding of Data Processing and ETL Process.
- Experience with Agile or Scrum project management methodologies.
- Strong problem-solving and critical-thinking abilities.
- Ability to work in a fast-paced and dynamic environment.
Good to have: - Follow change management processes to address scope changes and project adjustments.
- Ensure all changes are documented, approved, and communicated effectively.
Job responsibilities Work directly with customer engineering, product, architecture, and executive teams to identify SDLC bottlenecks and opportunities for AI-led acceleration.
Design and deliver working proofs using VelocityAI SDLC, modern AI development tools, agentic workflows, and automation.
Help customers move from traditional ticket- and sprint-based delivery toward intent-driven delivery loops that can generate plans, code, tests, documentation, and validation artifacts.
Define and measure acceleration outcomes such as reduced cycle time, faster story-to-code conversion, improved test generation, faster code review, reduced handoffs, and improved release readiness.
Present technical approach, architecture, proof results, business impact, and adoption recommendations to both technical and executive audiences.
