AI / ML Engineer

At Phaedon, we are revolutionizing how companies engage with their audiences and are passionate about sparking participation to drive growth for both our clients and our employees. Phaedon is a data-driven, tech-enabled marketing organization with a breadth of capabilities that go beyond our competitors and redefine traditional industry archetypes. We have a history of delivering game-changing results for notable brands across advanced analytics, loyalty technology and services, marketing communications, and experience transformation to bring intelligent imagination and solve our clients' biggest business and brand challenges. And every role at Phaedon has an integral part to play in fulfilling this vision. AI/ML Engineer We are seeking an AI/ML Engineer to join our analytics and product development team. You will be a key member of our team, responsible for building, deploying, and scaling AI‑powered data products and analytics solutions that solve real client challenges. Essential Duties & Responsibilities Product Engineering & AI Implementation Design, build, and deploy AI‑powered data products and analytics solutions using cutting‑edge technologies. Implement and productionalize AI/ML models using AWS Bedrock and other AI services. Transform proof‑of‑concept work into robust, production‑ready systems. Develop RAG (Retrieval‑Augmented Generation) systems for AI applications. Build cloud‑native applications with focus on scalability, reliability, and performance. Client Service & Analytics Delivery Work directly with clients to understand business requirements and translate them into product requirements and technical solutions. Present product requirements, user flows, and technical findings and recommendations to client stakeholders with clarity and professionalism. Conduct exploratory data analysis and deliver actionable insights through clear visualizations and reports. Collaborate with client teams to ensure successful implementation and adoption of analytics solutions. Cloud Infrastructure & Data Engineering Architect and maintain data lake solutions using AWS native tools including Lake Formation, Glue, and Athena. Develop automation and monitoring solutions using Lambda and other AWS services. Create and maintain Infrastructure‑as‑Code (IAC) using Terraform, Pulumi, and CloudFormation. Build data pipelines that synthesize complex datasets from multiple sources into actionable insights. Quality & Production Focus Implement error‑proofing strategies and robust testing frameworks including integration testing. Develop CI/CD pipelines for automated deployment and model versioning. Create monitoring and logging solutions for production AI systems. Ensure security best practices for AI applications and data handling. Location This role is based out of our office in the Designer's Guild building in the heart of Minneapolis' North Loop neighborhood. We embrace a hybrid model with three in‑office days per week to ensure a mix of collaboration and flexibility to support our employees' success. Basic Qualifications Bachelor's degree in data science, computer science, computer engineering, or related field. 5+ years of hands‑on experience in relevant skillsets including Python development and cloud engineering. Strong experience with AWS services, particularly Bedrock, SageMaker, Lambda, Glue, and Athena. Proficiency in AI implementation, model deployment, and productionalization. Proven experience of authoring product requirement documents, user workflows, and technical flows. Knowledge of Infrastructure‑as‑Code (Terraform, CloudFormation). Experience with source control, automated deployment pipelines (Git, Docker). Proven experience building and deploying ML models with various methodologies. Client‑facing experience in analytics or consulting environment. Strong presentation and communication skills for technical and non‑technical audiences. Technical Skills Programming: Advanced Python (including AI/ML libraries like transformers, langchain), SQL, Boto3. AI/ML Tools: AWS Bedrock, SageMaker, prompt engineering, model fine‑tuning. Cloud Services: AWS ecosystem with focus on data and AI services. Visualization: Experience with Tableau, PowerBI, or QuickSight. Development Practices: Object‑oriented programming, testing frameworks, CI/CD. Preferred Skills Experience with vector databases and RAG implementations. Knowledge of LLM fine‑tuning and deployment strategies. Familiarity with MLOps practices and model versioning. Experience with API development and microservices architecture. Background in professional services or consulting environments. Experience with AWS data lake tools and architecture. Previous experience in client service roles within analytics or technology consulting. What We Offer We value our employees and demonstrate this through our comprehensive benefits offering including medical/dental/vision coverage, comprehensive paid time off, paid holidays, paid parental leave, retirement savings plans, and more. Pay Range The pay range for this position is estimated to be: $120,000-185,000 per year. Equal Opportunity Employer Statement We are an equal opportunity employer and all employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Reasonable accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. Visa Sponsorship Please note that we are not offering sponsorship of employment visas for this role. To be considered for this opportunity, candidates must currently be legally authorized to work in the U.S. without sponsorship for employment visa status (e.g., H1B status, 0‑1, TN, CPT, OPT, etc.). Job Description Disclaimer The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all‑inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workload. The statements are not a contractual statement of employment terms or the status of a role and are intended to provide context for the responsibilities the role is expected to perform. #J-18808-Ljbffr