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
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Lead AI engagements from discovery and strategy definition through architecture and implementation, ensuring delivery of production-ready agentic AI ecosystems at enterprise scale
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Translate complex business and operational challenges into AI use-case definitions, solution roadmaps, and reference architectures that align with client objectives
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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)
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Support pre-sales activities, including proposals, solution positioning, GenAI workshops, proof-of-concept initiatives, and technical discovery sessions
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Guide organizations on enterprise AI governance, MLOps, model lifecycle management, scalability, observability, and deployment best practices
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Mentor engineering and consulting teams on cloud AI ecosystems, agentic AI frameworks, and emerging technologies
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Drive thought leadership through whitepapers, technical blogs, conference presentations, and participation in industry events
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SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills
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Medical insurance for you and your family
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Food vouchers
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Extra days off
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Dare to Care, our holistic well-being program
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Anniversary Program to celebrate your time with us
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