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Informations générales

Emplacements
  • Singapore, SGP
Fonction métier
Stratégie et conseil
Date de publication
Thursday, April 2, 2026
Nº de réf.
841

Description et exigences

Description du poste

Build - Sr Consultant/Principal (AI SDLC Specialist) 


Who You’ll Work With

Slalom Build capability is Slalom’s technology powerhouse, dedicated to engineering, cutting-edge technologies, and modern development practices. We embrace diversity of thought and background, fostering a culture that values creativity and collaboration. As a trusted partner, Slalom Build helps clients maximize the value of their software by delivering fast, high-quality, and consistent solutions. We combine strategic thinking with AI-driven tools to support end-to-end delivery at any scale. Our focus is not only on building great solutions, but also on empowering people and creating lasting impact.


What You’ll Do

  • Evaluate the legacy codebase's suitability for AI-assisted tooling, considering code structure, language mix, complexity, and module characteristics that influence AI comprehension and effectiveness.
  • Research and evaluate AI tooling options across the SDLC, including code documentation generation, unit test generation, automated code review, and business rules extraction, and assessing capability, licensing, cost, security, and data privacy implications.
  • Execute hands-on AI-assisted documentation and test generation pilots on representative modules, evaluating accuracy, completeness, coverage, effort savings versus manual approaches, and scalability across the broader codebase.
  • Collaborate with team to select pilot candidates, assess AI-generated test quality and maintainability, and incorporate findings into the overall testing and documentation strategies.
  • Implement the existing phased AI-SDLC adoption roadmap with defined success metrics, prerequisites, cost-benefit estimates, and governance guardrails covering review processes, intellectual property considerations, and quality gates for AI-generated artifacts.
  • Investigate integrating AI tooling into CI/CD pipelines and evaluating AI-augmented alternatives within the broader SDLC tooling landscape.
  • Assess the client's organizational readiness and appetite for AI tooling adoption, and contribute findings to executive readouts and technical deep-dive sessions with client teams.


What You’ll Bring

Must Have

  • 6+ yearsof software engineering experience
  • Demonstratable hands-on experience withAI-assisted development tools
  • Demonstrated experiencepiloting and evaluating AI toolingin enterprise environments, not just personal use, but structured evaluation with measurable outcomes
  • Hands-on experience withAI-assisted code documentation generation, with an understanding of what works, what doesn't, and where human review is essential
  • Hands-on experience withAI-assisted test generation, with an understanding of coverage quality, edge case limitations, and maintainability of generated tests
  • Strong understanding ofSDLC processes and best practices, must understand the full lifecycle to identify where AI adds value vs. where it introduces risk
  • Understanding ofunit testing frameworks(.NET: xUnit, NUnit; JavaScript: Jest) to a sufficient ability to evaluate AI-generated test quality
  • Ability to designpragmatic adoption roadmapsthat account for organizational readiness, not just technical capability
  • Excellentcommunication and demonstration skills, to be able to show stakeholders concrete examples of AI tooling value, not abstract promises
  • Understanding ofAI governance, data privacy, and IP considerationsrelated to using AI tools on proprietary codebases

Nice to Have

  • Experience withLLM-based code analysis, using models for business rules extraction and code comprehension
  • Experience withReact/TypeScript
  • Experience withAI code review tools
  • A strong foundation in.NET development
  • Experience withprompt engineeringfor code analysis tasks
  • Experience withBDD/ATDDand AI-assisted acceptance test generation
  • Familiarity withRAG (Retrieval Augmented Generation)patterns for codebase-aware AI assistants
  • Experience evaluatingAI tool security, including code snippet transmission, data retention policies, SOC2 compliance of AI vendors
  • Published articles, talks, or case studies on AI-SDLC adoption

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

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