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Lead Agentic AI Consultant

SoftServe

New
Senior 🇬🇧 English
Python PyTorch TensorFlow Pandas NumPy Hugging Face LangChain LangGraph Semantic Kernel SageMaker AgentCore Azure OpenAI AI Foundry Azure ML Gemini ADK vector databases RAG pipelines MLOps

Job description

About the role

You will act 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.

Key responsibilities

  • Lead AI engagements from discovery through architecture and implementation, delivering production‑ready agentic AI ecosystems at enterprise scale.
  • Translate complex business challenges into AI use‑case definitions, solution roadmaps, and reference architectures.
  • Design and validate AI architectures on AWS, Azure, and GCP services such as Bedrock, SageMaker, AgentCore, Azure OpenAI, AI Foundry, Vertex AI, Gemini, and ADK.
  • Support pre‑sales activities including proposals, workshops, PoCs, and technical discovery sessions.
  • Guide organizations on 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.

Required profile

  • 6+ years of experience in AI consulting, generative/agentic AI development, machine learning, and deep learning.
  • Strong advisory and stakeholder management skills, with experience presenting to executives and leadership.
  • Proven ability to support go‑to‑market initiatives, customer discovery workshops, and technical pre‑sales engagements.

Required skills

  • Python programming and modern AI/ML ecosystems (PyTorch, TensorFlow, Pandas, NumPy, Hugging Face, LangChain, LangGraph, Semantic Kernel).
  • Experience with agentic AI frameworks and cloud‑native AI services (AWS Bedrock, SageMaker, AgentCore; Azure OpenAI, AI Foundry, Azure ML; GCP Vertex AI, Gemini, ADK).
  • Hands‑on development of AI agents, multi‑agent systems, orchestration workflows, RAG pipelines, tool calling, function orchestration, memory management, vector databases, and AI workflow automation.
  • Full AI lifecycle expertise: experimentation, fine‑tuning, optimization, deployment, inference, and monitoring.

Questions fréquentes

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Published 16 hours ago

Expires 1 month from now

6 views · 0 interested

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