Senior AI Consultant
At Unipartner, being a Senior Consultant comes with an exciting & challenging role. Our senior consultants work on billable engagements to design, develop and implement solutions by using standard or new methods, techniques and top IT Tech solutions, consistently delivering high client value.
This senior consultant will work on our Data and Artificial Intelligence team, analyzing, creating and implementing new technical and business solutions, developing pre-sales and project management activities as well as mentoring team members. This role will be part of a technology consultancy team with vast mission-critical application experience, working with major clients in different sectors.
What is the challenge? In this role, you will:
Design and lead end-to-end AI architectures in collaboration with business and technical teams
Translate business requirements into scalable, secure and resilient technical solutions
Define and integrate AI systems across data, infrastructure and application layers
Ensure compliance with security, privacy and resilience-by-design principles
Stay aligned with emerging AI and GenAI trends and technologies
Ability to identify fundamental problems from real-world cloud use-cases and design, build, and validate successful AI solutions
Solution architecture and design experience, translating business requirements into technical specifications, and developing scalable and robust AI solutions
Strategic mindset combined with execution strength, able to structure complex challenges into actionable roadmaps
Technical skills
Minimum of 5 years of experience, with at least +2 years in Technical Architecture roles, with AI exposure
Bachelor's degree or MS degree in Computer Science, Engineering, Informatics, Data Science
Microsoft Certification: Azure AI Engineer or Azure Data Scientist Associate is a plus
Experience building AI products using LLMs, embeddings or other natural language technologies particularly leveraging Vector Search
Experience with RAG, embeddings, vector databases and semantic search
Knowledge of LLM integration, prompt engineering, guardrails and AI observability
Understanding of AI governance, security and responsible AI principles
Knowledge of secure architecture (identity, access, secrets management)
Soft & other skills
Commitment to continuous learning and staying updated with advancements in the field of AI
Consultative profile with good organizational and documentation skills
Experience in leading customer meetings and other customer interactions
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