You’ll apply on Softserve’s own site.
About the role
SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.
About the role
In this role, you will serve as a trusted advisor and technical leader for enterprise-scale AI transformations — designing, validating, and delivering agentic AI solutions — within SoftServe’s AI and Data Science Center of Excellence, a team of 170+ experts. Partnering with world-leading clients, hyperscaler alliances, and cross-functional teams, you’ll accelerate AI adoption and shape production-ready AI ecosystems that drive measurable business value.
Responsibilities
Responsibilities
- Lead AI engagements from discovery and strategy definition through architecture and implementation, ensuring delivery of production-ready agentic AI ecosystems at enterprise scale
- Translate complex business and operational challenges into AI use-case definitions, solution roadmaps, and reference architectures that align with client objectives
- Design and validate AI architectures leveraging cloud platforms — including AWS (Bedrock, SageMaker, AgentCore), Azure (Azure OpenAI, AI Foundry, Azure ML), and GCP (Vertex AI, Gemini, ADK)
- Support pre-sales activities, including proposals, solution positioning, GenAI workshops, proof-of-concept initiatives, and technical discovery sessions
- Guide organizations on enterprise AI governance, MLOps, model lifecycle management, scalability, observability, and deployment best practices
- Mentor engineering and consulting teams on cloud AI ecosystems, agentic AI frameworks, and emerging technologies
- Drive thought leadership through whitepapers, technical blogs, conference presentations, and participation in industry events
Requirements
Requirements
- 6+ years of experience in AI consulting, GenAI/Agentic AI development, Machine Learning, and Deep Learning areas
- Strong expertise in Generative/Agentic AI
- Hands-on experience with Python and modern AI/ML ecosystems, including PyTorch, TensorFlow, Pandas, NumPy, Hugging Face, LangChain, LangGraph, Semantic Kernel, or similar agentic AI frameworks
- Experience designing and developing AI agents, multi-agent systems, orchestration workflows, and autonomous AI applications using Python-based agentic frameworks and cloud-native AI services
- Practical experience implementing RAG pipelines, tool calling, function orchestration, memory management, vector databases, and AI workflow automation
- Practical experience across the full AI lifecycle, including experimentation, fine-tuning, optimization, deployment, inference, and monitoring
- Strong advisory and stakeholder management capabilities with experience presenting to stakeholders, executives, and leadership audiences
- Experience supporting go-to-market initiatives, customer discovery workshops, solution positioning, and technical pre-sales engagements
- Understanding of enterprise architecture, cloud computing, distributed systems, Big Data, SDLC, MLOps, and AI governance practices
- Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Physics, Engineering, or related technical field preferred
- Strong communication, collaboration, analytical, and problem-solving skills
Some of our benefits
- SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills
- Medical insurance for you and your family
- Food vouchers
- Extra days off
- Dare to Care, our holistic well-being program
- Anniversary Program to celebrate your time with us