Lead Agentic AI Consultant

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

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

Some of our benefits

• SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career
• Medical insurance: Health coverage for you and your family
• Food vouchers: Additional support for your everyday expenses
• Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance
• Dare to Care: Our holistic well-being program, designed to support your overall wellness
• Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

SoftServe is a global digital services and consulting company with 30+ years of experience and 11,000+ professionals across 16 countries, helping businesses worldwide solve complex challenges through technology.

Our Data Science Center of Excellence (CoE) brings together 170+ experts in AI, Machine Learning, and Data Science to develop innovative, scalable solutions. From discovery and PoCs to production deployment, we collaborate across teams to deliver measurable business impact.

In this role, you’ll act as a trusted advisor and technical leader for enterprise-scale AI transformations, designing and delivering advanced agentic AI solutions. Partnering with global clients, hyperscaler alliances, and cross-functional teams, you’ll accelerate AI adoption and shape production-ready AI ecosystems that drive measurable business value.