Remote AI SDLC Transformation Consultant

EPAM Systems Inc; Austin (TX); Remote; USD 160,000 - 220,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts (Healthcare

Short-Term & Long-Term Disability

Life and AD&D Insurance

Employee Assistance Program

LinkedIn Learning access

401(k) matching

Paid Time Off (15-25 days)

Paid Holidays (9 per year)

Employee Discounts

Stock Purchase Program

Job summary

EPAM Systems is seeking an AI SDLC Solutions Consultant to join our AI Adoption sub-stream in the Engineering Excellence program. The role combines deep technical delivery knowledge with customer-facing activities, including running demos and shaping AI-driven transformations across the software development lifecycle.

You will work with engineering leaders to quantify improvements in delivery speed, quality, and developer productivity, design prototype AI solutions, and help define roadmaps.

Qualifications

• Hands-on experience with AI tools and managing configurations and integrations.
• Proven client-facing experience with demos, proposals, and workshops.
• Strong understanding of engineering processes (DevOps, CI/CD, testing) and ability to optimize with AI.
• Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices.

Responsibilities

• Identify client engineering challenges and map AI solutions to objectives.
• Conduct demos and proofs-of-concept for potential clients.
• Maintain relationships with clients and uncover AI integration opportunities.
• Collaborate with customers to define goals and success metrics.
• Design AI-driven solutions and benchmark platforms for fit.

Skills

AI tools

Pre-sales experience

Client-facing

DevOps knowledge

Demos & POCs

Job description

EPAM Systems is seeking an AI SDLC Solutions Consultant to join our AI Adoption sub-stream in the Engineering Excellence program. The role combines deep technical delivery knowledge with customer-facing activities, including running demos and shaping AI-driven transformations across the software development lifecycle.

You will work with engineering leaders to quantify improvements in delivery speed, quality, and developer productivity, design prototype AI solutions, and help define roadmaps.