About Phaedon

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.

About the Role:

This is an excellent opportunity for an innovator and problem solver who thrives at the intersection of AI, cloud engineering, and product development. 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.

At Phaedon, we recognize that exceptional talent comes with diverse experiences. The final title and compensation will be thoughtfully determined using factors including but not limited to relevant work experience, skills, certifications and competencies that align to the specified role.

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

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.).

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.

There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

Phaedon is 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.

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.

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Phaedon, LLC

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