Summary
✨ AI‑Generated
Lead the design, development, and operationalization of scalable AI and platform automation solutions within a large enterprise environment. You’ll combine AI engineering, data systems, and software architecture expertise to deliver secure, high-performance capabilities while collaborating with engineers, architects, product leaders, and domain experts.
Highlights
Enterprise-scale AI platform work, close collaboration with data and architecture specialists, and opportunities to design secure, scalable, high-performance AI capabilities.
Description
Role Lead AI Platform Engineer
Desired Experience: +10 Years
Location of Requirement Poland Contract and Onsite role
Resources who can join immediately and have a valid work permit only should share your Profile.
Role Overview
As a Senior AI Platform Engineer within Client’s Data Analytics Platform (ADAP) organization, you will design, develop, and operationalize AI and platform automation solutions that accelerate developer experience and data product insights across the company.
You will combine deep technical expertise in AI engineering, data systems, and software architecture to build scalable, secure, and high-performance AI capabilities on the ADAP platform.
In this role, you will closely collaborate with data engineers, architects, product owners, and domain experts to translate complex business challenges into robust AI solutions that can be deployed at enterprise scale.
Key Responsibilities
AI Solution Design &Development
Architect and implement end-to-end AI solutions—data ingestion and preparation, AI engineering, model deployment, and monitoring.Build reusable AI components, frameworks, and pipelines that accelerate model usage and deployment across teams.Ensure solutions follow software engineering best practices, including modularity, testability, and maintainability.
Platform & Infrastructure Engineering
Integrate AI capabilities into Client’s ADAP platform, enabling scalable training, model tracking, and lifecycle management.Optimize AI workloads on Data bricks, Spark, and Azure-based data platforms.Implement cloud-native and micro services-based AI deployment architectures.Leverage automation and infrastructure-as-code to ensure reproducibility and operational excellence.
Technology Leadership& Innovation
Drive the adoption of cutting-edge AI techniques, tooling,and frameworks.Partner with peer architects to align AI design with data platform strategy.Explore and integrate emerging technologies (e.g., LLMs,generative AI, streaming ML, vector databases).
Collaboration & Stakeholder Engagement
Work cross-functionally with data engineers, platform teams, analytic steams, and business stakeholders.Translate analytical needs into clear technical requirements and solution designs.Mentor junior engineers and support capability-building across the organization
Required Skills & Qualifications Experience
10+ years in data/software engineering, platform engineering, or software engineering within large-scale environments.Proven experience delivering production-grade AI systems would be a preference.
Technical ExpertiseAI Engineering:Experience with LLMs, NLP, MCP servers ,agentic workflow deployment and AI platform architectures.Data & Platform Engineering:Hands-on with Data bricks, Spark, Delta Lake, and lake house paradigms.Expertise integrating AI solutions with large-scale data platforms.Cloud & MLOps:Deep knowledge of Azure (Azure Data bricks, Azure Functions, Azure Synapse, Azure Fabric, Event Hub).Strong experience with CI/CD, automation, monitoring, and model observability.Familiarity with micro services, containers, and Kubernetes.Software Engineering:Proficiency in Python,SQL, and cloud-native development patterns.Ability to design secure, scalable, and high-performance AI components.Soft Skills
Strong communication and stakeholder management skills.Ability to lead technical direction and influence cross-functional teams.Problem-solving mind set with a focus on delivering value.
Interested Resources who can join immediately and have a valid work permit may share your profile to careers@i2d.consulting
