AI SDLC Solutions Consultant

EPAM Systems • New York, NY

5d

About The Position

The AI SDLC Solutions Consultant joins the AI Adoption sub-stream within the Engineering Excellence Program, championing AI-driven engineering transformation across the software development lifecycle. The role combines technical expertise and knowledge of delivery and engineering processes with customer-facing consulting, including demos, workshops, and proposals. The consultant works with engineering leaders and customers to identify challenges, align AI solutions with engineering goals, and demonstrate measurable improvements in delivery speed, quality, and developer productivity.

The role evaluates engineering processes and AI platforms, designs and prototypes SDLC solutions, and recommends scalable improvements across development, testing, and deployment. It also supports adoption through training and documentation, tracks outcome KPIs, and researches emerging AI technologies for potential pilots.

Requirements

• Hands-on experience with AI tools such as Claude, Codex, GitHub Copilot, Microsoft Copilot, ChatGPT, or similar platforms, along with the technical background to manage configurations and integrations.
• Proven experience in client-facing roles, including delivering demos, proposals, and workshops and identifying AI solutions aligned with engineering goals.
• Strong understanding of engineering processes such as DevOps, CI/CD, and testing, and ability to recommend AI-driven optimizations.
• Knowledge of data privacy regulations such as GDPR and CCPA, and ethical AI practices.
• Demonstrated ability to map AI solutions to engineering outcomes, including delivery speed, quality, and developer productivity, and clearly explain expected impact to clients.
• Ability to present architectural decisions to technical and non-technical audiences.
• Skill in establishing and tracking KPIs, such as cycle time, lead time, and defect rates, to measure AI adoption results and communicate outcomes to stakeholders.

Responsibilities

• Engage in pre-sales activities by identifying client engineering challenges, mapping AI solutions to objectives, and developing proposals that describe expected improvements in delivery speed, quality, and developer productivity.
• Conduct demos and proofs of concept to demonstrate AI capabilities, technical feasibility, and expected engineering impact.
• Maintain relationships with prospective and existing clients and identify opportunities for SDLC AI integrations that improve engineering efficiency and quality.
• Work with customers to understand engineering goals, challenges, and success metrics, and align AI solutions with their needs and priorities.
• Evaluate engineering processes and identify AI-driven improvement opportunities across development, testing, and deployment; recommend strategic roadmaps focused on scalability and robustness.
• Design and prototype AI-driven solutions, such as code review automation and test coverage optimization, and benchmark platforms to assess suitable SDLC integrations.
• Deliver hands-on demos, workshops, and training on AI methodologies and best practices to accelerate adoption and reduce reliance on external support.
• Establish and track KPIs, such as cycle time, lead time, defect rate, and AI adoption; present results to stakeholders and guide continuous improvement.
• Develop playbooks, case studies, and technical documentation to make AI solutions scalable and repeatable within the Engineering Excellence Program.
• Research and evaluate emerging AI technologies, including large language models and generative AI, and assess their potential and suitability before piloting features or solutions.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed