Arkhya Tech. Inc.
AI/ML/Kiro Tech Lead
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
17 October 2026
What they need
Position: AI/ML/Kiro Tech Lead
Location: Remote
Type : Fulltime
Role Summary
The senior technical and methodological leader for an engagement that moves an Insurance customer from AI-assisted coding toward an AI-driven software development lifecycle. The Tech Lead owns how enterprise standards are codified into Kiro and how spec-driven development is adopted consistently across business-unit teams.
Key Responsibilities
- Policy and process discovery - Capture engineering policies, coding standards, security and compliance requirements,
- architecture practices and SDLC processes.
- Kiro standards - Translate discovered standards into centrally governed Kiro steering, hooks and skills rather than relying
- on documents alone.
- AI-DLC workflow - Design a spec-driven workflow from business intent through clarified scope, requirements, task
- breakdown, code, tests and iteration, with developer confirmation at the gates.
- Enterprise architecture - Set the architecture for centrally managed Kiro configurations distributed through
- customer-standard developer tooling.
- BU technical leadership - Guide up to three parallel BU projects and use delivery findings to refine enterprise standards.
- Value realization - Partner with the Kiro customer-success team on the cost-and-value measurement POC and shape the
- value story for leadership.
- COE enablement - Mentor customer COE champions so they can independently operate and extend the model after
- handoff.
- MCP governance - Advise on MCP registry and gateway direction so that approved MCPs are made available to Kiro
- users.
- Stakeholder leadership - Facilitate discovery and Value Stream Mapping sessions and present technical direction and
- outcomes to sponsors and engineering leaders
Qualifications
- Experience - Senior technical consulting or Staff/Principal Engineering experience leading enterprise transformation.
- Core requirement - Strong AI-driven development, engineering-governance, enterprise architecture and
- technical-leadership capability.
- Delivery capability - Ability to define the method, govern parallel BU delivery and turn standards into centrally managed
- Kiro capabilities.
- Preferred - Direct Kiro experience and regulated-enterprise or Financial Services experience.
- Success measures - BU projects and champions aligned; enterprise Kiro assets in use across parallel initiatives;
- measurable throughput gains; credible cost-and-value narrative; self-sufficient COE.
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