Overview
The role involves assessing and improving software development lifecycle (SDLC) practices and contributing to the design and development of an internal agentic AI platform. The purpose is to enhance SDLC knowledge and execution through hands-on engineering and pragmatic implementation.
Key Responsibilities
- Embed with agile teams to assess current SDLC practices across requirements, development, testing, and release.
- Identify gaps in delivery flow, quality, and developer productivity.
- Design and execute small-scale experiments using GenAI tools to improve outcomes.
- Establish baseline metrics and track measurable improvements over time.
- Produce implementable recommendations aligned with the existing tooling ecosystem.
- Apply modern GenAI tools to real development scenarios.
- Develop reusable patterns for prompt engineering, code generation, and test automation.
- Partner with teams to incorporate GenAI into daily engineering practices.
- Evaluate impact on developer productivity, quality, and cycle time.
- Document practices for broader adoption across the portfolio.
- Contribute hands-on to the design and prototyping of an internal agentic AI framework.
- Build and evaluate agent workflows leveraging SDLC artifacts.
- Support integration of agent capabilities into engineering and delivery processes.
- Collaborate with a small internal team on experimentation, evaluation, and iteration.
- Ensure practical applicability of solutions within enterprise constraints.
- Define and track KPIs linked to SDLC efficiency and GenAI adoption.
- Translate experimental outcomes into scalable practices.
- Support teams in adopting validated improvements.
- Provide structured updates on insights, risks, and results.
- Balance experimentation with delivery commitments.
- Work closely with engineering teams, product roles, and leadership.
- Communicate findings clearly, with evidence and practical implications.
- Provide grounded, experience-based perspectives on trade-offs.
- Operate effectively within an established strategic direction.
Required Experience
- 5+ years as a software engineering practitioner (Staff/Principal/Engineering Manager level or equivalent)
- Hands-on experience with GenAI tools within the last 24 months, applied to real engineering workflows
- Demonstrated ability to improve SDLC practices through practical implementation
- Experience working within structured delivery environments (e.g., Agile at scale)
- Experience with agentic frameworks (e.g., multi-agent workflows, orchestration frameworks) (Preferred)
- Background in financial services or other regulated environments (Preferred)
- Familiarity with SAFe Agile or similar scaled frameworks (Preferred)
Qualifications
• A Master's degree with 5 years of experience or a Bachelors Degree with a minimum of 7 years of relevant experience, or equivalent combination of education and experience.
