- Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production
- Serve as the primary technical and delivery interface for clients and senior stakeholders
- Translate business objectives into AI/ML solution requirements and actionable engineering plans
- Own project planning, prioritization, timelines, milestones, risks, dependencies, and overall delivery
- Coordinate across AI Engineers, Data Scientists, Data Engineers, Product Managers, and client teams
- Conduct regular client discussions, status reviews, technical walkthroughs, and solutioning sessions
- Identify delivery risks, technical challenges, resource constraints, and dependencies and drive them toward resolution
- Architect, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases
- Lead hands-on development of LLM-powered applications, RAG systems, AI agents, and agentic workflows
- Design and implement end-to-end AI application architectures, including LLM integration, prompt engineering, RAG pipelines, embeddings and vector databases, tool/function calling, agent orchestration, evaluation, and monitoring
- Work with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies
- Integrate foundation models and LLM platforms such as OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Gemini, or open-source models
- Develop production-grade AI services and APIs using Python, FastAPI, Docker, Kubernetes, and cloud platforms
- Design retrieval pipelines including document processing, chunking, embedding generation, vector search, hybrid retrieval, and re-ranking
Requirements
- 10+ years of experience in software engineering, AI/ML engineering, data science, or a related technical field
- Strong hands-on experience building and deploying AI/ML or Generative AI solutions
- Proven experience leading technical teams or AI engineering pods while remaining hands-on
- Strong proficiency in Python and experience developing production-grade applications
- Strong understanding of LLMs, Generative AI, NLP, RAG, and AI agents
- Experience with one or more AI/GenAI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent
- Experience working with LLM APIs/foundation models such as OpenAI, Azure OpenAI, Anthropic, Bedrock, Gemini, or open-source LLMs
- Experience with vector databases and semantic search
- Experience designing and deploying cloud-based AI solutions on AWS, Azure, or GCP
- Strong understanding of APIs, microservices, Docker, CI/CD, and production deployment
- Experience with AI evaluation, monitoring guardrails, and responsible AI is highly desirable
- Strong client-facing communication and stakeholder management skills
- Demonstrated ability to translate ambiguous business problems into practical technical solutions
- Master's in Business Analytics or equivalent work experience
Core Competencies
Demonstrates expertise in leading AI/ML engagements, translating business objectives into actionable engineering plans, and architecting end-to-end AI solutions. Proficient in developing production-grade applications using Python and integrating various AI frameworks and LLM platforms.
Highest-signal resume keywords
- AI/ML Solution Development
- Python Programming
- LLM Integration
- Cloud-Based AI Solutions
- Client-Facing Communication
ATS Optimization Keywords
Hard Skills
- AI/ML Engineering
- Generative AI Solutions
- Production-Grade Application Development
- Vector Databases
- NLP
- RAG Systems
- API Development\
- Microservices
- Docker
- CI/CD
Soft Skills
- Stakeholder Management
- Technical Leadership
- Problem Solving
- Communication
Certifications & Qualifications
- Master's in Business Analytics
Industry Keywords
- AI Solutions
- Machine Learning
- Data Science
- Cloud Platforms
- Enterprise Use Cases
Tools & Technologies
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel
- OpenAI
- Azure OpenAI
- Anthropic Claude
- Amazon Bedrock
- Gemini
- FastAPI
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AI Engagement Lead Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
