AI Architect

Ascendion; Poland; On-site; PLN 320,000 - 520,000; Full time

Job summary

Ascendion seeks an AI Architect to design and deploy Agentic AI and GenAI solutions, leading technical execution from PoC to production in a fast-paced environment.

You will leverage Azure, AWS, and GCP platforms, implement LLMOps/AgentOps, and collaborate with cross-functional teams to translate business challenges into scalable technical designs.

Qualifications

• Master’s or Bachelor’s degree in AI, Computer Science, Data Science, or related field.
• Minimum 7 years of data science, ML, and AI experience delivering AI-driven solutions.
• Highly proficient in Python with hands-on AI libraries and modern frameworks.

Responsibilities

• Design and build advanced Agentic AI and GenAI solutions from PoC to production.
• Apply analytical techniques to architect solutions from complex data ecosystems.
• Evaluate and integrate Agentic AI platforms and multi-agent frameworks.
• Architect end-to-end data pipelines, models, and AI applications on cloud platforms and MLOps/LLMOps.
• Build, optimize, and deploy production-grade fine-tuned LLMs and RAG architectures.
• Design, manage prompts and use Context Engineering to optimize model reasoning.
• Communicate with stakeholders using data visualization and clear AI concept storytelling.
• Implement frameworks for ethical AI, data privacy, and governance.

Skills

Python

LangGraph

CrewAI

PyTorch

Agentic AI

MCP

A2A

Azure/AWS/GCP

LLMOps/AgentOps

Prompt engineering

Context optimization

Data privacy

Education

Master’s or Bachelor’s in AI/CS/DS

Tools

Azure AI/ML Studio

AWS Bedrock

GCP Vertex

Langfuse

Job description

In this role, you will build robust AI solutions that leverage the latest in multi-agent frameworks and foundation models. You will collaborate with experts across the firm to translate complex business challenges into scalable, future-proof technical designs. You will leverage tomorrow's tools to enhance our internal capabilities and unlock unprecedented value for our people, all while developing your career in a supportive and inclusive environment. You will be reporting to the Head of AI-CoE.

As an AI Architect you will be expected to:

• Design and build advanced Agentic AI and GenAI solutions, taking ownership of the technical execution from rapid PoC to reliable production deployment using agile methodologies and best practices.
• Apply state-of-the-art analytical techniques to architect solutions from complex structured and unstructured data ecosystems.
• Evaluate and integrate the latest Agentic AI platforms, multi-agent frameworks, and foundational models to ensure the best strategic fit for the landscape.
• Architect end-to-end data pipelines, models, and AI applications, leveraging cloud platforms (Azure AI/ML Studio, AWS Bedrock, GCP Vertex) and incorporating standard MLOps/LLMOps/AgentOps frameworks.
• Build, optimize, and deploy production-grade fine-tuned LLMs, complex RAG architectures, and integrated autonomous workflows.
• Design, architect, and manage advanced prompts and utilize Context Engineering to optimize language model reasoning and Agent outputs.
• Communicate effectively with cross-functional stakeholders using data visualisation, storytelling, and clear presentation of complex AI concepts.
• Implement and champion frameworks for the ethical use of AI, ensuring strict adherence to data privacy regulations, AI governance policies, and enterprise security standards.

Required Skills:

• A Master’s or Bachelor’s degree in AI, Computer Science, Data Science, or a related field or equivalent.
• Minimum of 7 years of experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques.
• Highly proficient in Python, with deep hands-on expertise in AI libraries and modern development frameworks (e.g., LangGraph, CrewAI, PyTorch, etc.).
• Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications.
• Expertise in designing and implementing Agentic AI solutions, Model Context Protocol (MCP), A2A and integrating complex autonomous workflows into existing enterprise applications.
• Strong experience architecting and deploying solutions on major cloud platforms (Azure, AWS, and GCP), with a solid grasp of LLMOps/AgentOps and scalable cloud-native architectures.
• Solid understanding of GenAI observability and monitoring frameworks (e.g., Langfuse) to ensure system performance and trace reasoning chains.
• Advanced expertise in prompt engineering, evaluation-based agent development, and context optimization.
• Prior experience implementing ethical AI practices, data privacy safeguards, and AI governance.

About Us:

Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com

With Ascendion (www.ascendion.com), you:

• Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering.
• At Ascendion you have high chances of project extension or redeployment to other clients.
• Additionally, you can also share CV of anyone you know. We have a referral policy in place.