Partner with clients during the pursuit/RFP process to understand their business objectives and challenges

Advise on how AI and accelerators can solve problems and unlock value within managed services

Present tailored recommendations and solutions to key stakeholders, effectively communicating both technical and business-focused benefits

Ensure seamless knowledge-transfer processes with clients, addressing any training, enablement, and AI adoption needs

Create proposals to design, implement, and support managed services solutions for application development and support, ensuring alignment with client needs and service delivery expectations

Lead the incorporation of AI-powered tools (such as predictive analytics, intelligent automation, and machine learning accelerators) into application support and development processes to proactively address issues, enhance performance, and improve efficiency

Analyze and identify opportunities to automate repetitive tasks, reduce manual intervention, and improve turnaround times through AI-driven capabilities

Solutions models should leverage accelerative tools (e.g., bots, virtual agents, and monitoring solutions) to expedite incident management, root cause analysis, and resolution

Research, evaluate, and recommend AI-driven frameworks and technologies that can be deployed to optimize application support and managed services delivery

Work with the pricing teams to model commercially attractive solutions that ensure client centricity as well as meet profitability goals

Advise and design service-level management strategy to deliver accountable service while mitigating commercial risk for EPAM

Strong experience in application support and development within a managed services environment

Hands-on expertise with AI solutions like predictive analytics, machine learning models, conversational AI (chatbots), and intelligent automation frameworks (such as RPA)

Broad understanding of Azure AI, AWS AI/ML, Google AI, TensorFlow, PyTorch, or related technologies

Familiarity with CI/CD pipelines, DevOps practices, and cloud platforms (AWS, Azure, GCP)

Strong problem-solving and critical-thinking abilities with a passion for driving innovation through technology

Exceptional interpersonal and communication skills to work collaboratively across teams and interact with clients at all levels

Ability to translate complex technical concepts into clear, actionable business recommendations

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

12+ years of experience in solutioning/delivering managed services in application support, development

3+ years of experience in designing AI-powered managed services solutions

Certifications in cloud platforms or AI/ML technologies would be a plus (e.g., AWS Certified AI Engineer, Microsoft Azure AI Fundamentals)