Akkodis is seeking an AI Engineering Lead for a Contract role with a client in Pleasant Ridge, MI (Remote). Were ideally looking for an applicant with Expertise in AI/ML expertise, including a deep understanding of transformer architectures and LLM capabilities, experience with text-to-SQL evaluation metrics, knowledge of fine-tuning approaches and RAG, and a solid foundation in AI safety, bias mitigation, and responsible AI practices. Pay Range: $97-$100/ hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Analytics Innovation Team: Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. Our Analytics Innovation team is at the forefront of implementing cutting-edge artificial intelligence solutions, from sophisticated agentic AI systems to enterprise-scale LLM deployments, with particular expertise in conversational analytics and text-to-SQL systems that transform how our clients engage with their data and customers. The AI Engineering Lead is a critical senior technical leadership role within our growing practice. This position sits at the intersection of technical architecture, implementation excellence, and innovation leadership for complex AI systems. You will be responsible for designing and building production-grade AI solutions that leverage the latest technology, agentic architectures, and cloud-native infrastructure, with a strong focus on natural language interfaces and data democratization through conversational insights. We are looking for a deeply technical leader who combines hands-on engineering expertise with strategic thinking about AI system design, including semantic layer architecture and SQL generation quality. You'll work closely with the client and our technical team to translate business requirements into scalable, reliable AI systems while establishing best practices that ensure successful deployments across our client base. Responsibilities : Architect and build enterprise-scale AI systems including agentic workflows, RAG architectures, conversational analytics platforms, and text-to-SQL solutions that are built to scale Design and implement semantic layers that enable accurate natural language to SQL translation across complex enterprise data warehouses in Databricks, Snowflake, or AWS platforms Lead MLOps/DevOps practices for AI systems including CI/CD pipelines, infrastructure as code, automated testing frameworks, and production monitoring solutions Develop robust evaluation frameworks including golden datasets for text-to-SQL accuracy, agent quality metrics, and comprehensive system performance benchmarks Design data architectures for AI systems including knowledge base design, vector databases, retrieval optimization, semantic modeling, and real-time data pipelines Build conversational insights systems following proven methodologies: requirements gathering, semantic layer implementation, evaluation framework creation, and successful client handoff Own the technical roadmap for AI capabilities including evaluation of emerging technologies, proof of concepts for new approaches, and strategic partnerships with cloud providers Lead technical client engagements as the engineering SME for complex implementations, providing architectural guidance for both traditional AI and conversational analytics deployments Establish engineering standards for prompt engineering, SQL generation quality, model selection, and guardrails implementation that ensure consistent, high-quality AI experiences Mentor and develop a team of AI engineers while fostering a culture of technical excellence and continuous learning Experience : 5+ years of software engineering experience with at least 2 years focused on AI/ML systems in production environments, preferably including text-to-SQL or conversational analytics implementations Deep hands-on experience building LLM-based applications including prompt engineering, RAG implementations, multi-agent systems, and natural language interfaces for data Proven expertise in cloud platforms (AWS/Azure/GCP) with specific experience in Databricks (Unity Catalog, Genie) or Snowflake (Cortex, Native Apps) highly preferred Strong background in MLOps practices and data engineering including semantic layer design, SQL optimization, and evaluation pipeline implementation Experience with modern AI stack including vector databases, orchestration frameworks (LangChain, LlamaIndex), and specialized evaluation tools for conversational AI quality Track record of building high-throughput, low-latency systems that handle enterprise scale, including text-to-SQL systems with high accuracy rates Production experience with multiple LLM providers and understanding of their trade-offs for various use cases including SQL generation Demonstrated ability to translate complex business requirements into technical architectures and lead cross-functional teams through implementation Education : Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred Technical Skills: Expert-level Python programming and software engineering best practices Strong SQL proficiency and experience with query optimization across multiple platforms Experience with semantic layer tools (Unity Catalog, AWS Glue Data Catalog) and metadata management Strong experience with containerization (Docker, Kubernetes) and microservices Proficiency in infrastructure as code (Terraform, CloudFormation) Familiarity with front-end technologies for full-stack AI applications AI/ML Expertise: Deep understanding of transformer architectures and LLM capabilities/limitations Experience with text-to-SQL evaluation metrics (execution accuracy, semantic correctness) Knowledge of fine-tuning approaches and retrieval-augmented generation (RAG) Understanding of AI safety, bias mitigation, and responsible AI practices Leadership Skills: Proven ability to lead technical teams and drive architectural decisions Excellence in technical documentation and knowledge sharing Strong presentation skills with ability to communicate complex concepts to diverse audiences Experience working in agile environments and leading technical sprints Additional Assets: Experience building golden datasets and evaluation frameworks for conversational AI Published work or presentations on AI/ML topics Specific experience with conversational insights in enterprise settings Background in data analytics or business intelligence What Success Looks Like: In this role, you'll be measured on your ability to deliver production-ready AI systems that meet our high standards for quality, reliability, and scalability. For conversational analytics implementations, this includes achieving high accuracy on text-to-SQL evaluations and successfully democratizing data access for business users. You'll establish our team as technical thought leaders in the AI space while ensuring every client deploymentfrom agentic systems to conversational interfacesis a success story. Your architectural decisions will enable rapid innovation while maintaining the stability and performance our enterprise client's demand. Success includes building reusable frameworks, establishing evaluation best practices, and delivering AI solutions that provide measurable business value across diverse use cases. If you are interested in this role, then please APPLY NOW . For other opportunities available at Akkodis, or any questions, feel free to contact me. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy . The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance
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