Lead Agentic AI Consultant

SoftServe; Polska; Hybrid; PLN 240,000 - 420,000; Full time

Benefits offered by this job

Flexible work model

Health coverage

Paid time off

Learning opportunities

Job summary

SoftServe seeks a trusted advisor and technical leader to drive enterprise AI transformations, designing and delivering agentic AI solutions within its AI and Data Science Center of Excellence. You will partner with world-leading clients and hyperscaler alliances to shape production-ready AI ecosystems that deliver measurable business value.

You will guide AI engagements from discovery through architecture, ensuring scalable, governance-focused deployments and mentoring teams on cutting-edge AI

Qualifications

• 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

Skills

GenAI/Agentic AI

Python

PyTorch

TensorFlow

LangChain

LangGraph

Semantic Kernel

RAG pipelines

GTM / pre-sales

Enterprise architecture

Cloud platforms (AWS/Azure/GCP)

Communication

Education

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Physics, Engineering, or related field

Tools

AWS Bedrock

SageMaker

Azure OpenAI

Vertex AI

PyTorch

TensorFlow

Pandas

NumPy

LangChain

LangGraph

Semantic Kernel

Job description

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

• 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

• 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

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

About us

We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Cloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.

Flexible Work Model

Work from home, from the office, or in a hybrid format that supports focus and collaboration.

Competitive, market-based pay, benchmarked by role and location - plus health coverage, paid time off, wellness support, and learning opportunities.

Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.

More opportunities available

Browse all open positions to find the best fit for your experience.