Associate AI Engineer

LAUNCH - Join AHEAD's Associate Development Program

Our Mission: to attract and develop a diverse community of THE top IT consulting talent in the country and build AHEAD’s next generation of leaders.

LAUNCH serves as the foundation to develop our talent into high potential leaders at AHEAD. By exposing you to a variety of career paths and building your acumen across different practices in the business, we’re accelerating your growth and career trajectory at AHEAD.

Our development program is built on a foundation of technical training, completion of certifications, and shadowing, all supported by an ecosystem of AHEADians that will be part of your Launch journey, every step of the way! You’ll grow and develop key skills that will support your development as a technical and consulting expert. If you’re ready to begin an exciting career in IT Consulting, LAUNCH is where you should be!

Associate AI Engineer

(Internally known as an Associate Technical Consultant)

As an Associate Engineer in LAUNCH, you will start out in a 3-month training program within our Digital Solutions Group (DSG) practice focused on Data solutions. Upon completion of LAUNCH, you will have the opportunity to work on client projects based on skillset, personal interest, and business needs.

Who we’re looking for: Think Big, Learn, and Be Curious

• Innovative Thinkers
• Enthusiastic Collaborators
• Creative Problem Solvers
• Curious Self - Starters

Responsibilities:

• Ability to communicate effectively across teams, and build positive relationships
• Demonstrate ability to work on teams, collaborate on projects, and contribute to the overall successful delivery of projects
• Demonstrate drive and proactiveness to get things done, be solutions-oriented, and enjoy solving complex problems
• Demonstrate resourcefulness, curiosity, creativity, courage, critical thinking, and a desire to use technology to search for new and innovative solutions to problems
• Exercise sound reasoning, ingenuity, and inclusive perspectives to analyze issues, solve problems and make recommendations
• Ability to execute, manage competing priorities, and deliver to deadlines

Qualifications:

• Working knowledge of AI/ML fundamentals, including model types (transformers, embeddings, diffusion), data pipelines, and inference workflows
• Proficiency in Python, with exposure to frameworks such as FastAPI, Flask
• Familiarity with GenAI tooling (OpenAI, Anthropic, Gemini, etc.) and vector stores (Pinecone, FAISS, Weaviate)
• Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps concepts-version control (Git, DVC), CI/CD, observability, and deployment best practices
• Experience in at least one of the following:
• Academic or personal AI/ML projects
• Internship or co-op in software or data engineering
• Technical bootcamp or certificate program in AI, ML, or cloud computing
• Certifications such as AWS Cloud Practitioner, Microsoft MS-900, or GCP Cloud Engineer are a plus
• Excellent communication, teamwork, and problem-solving abilities
• U.S. work authorization required

Experience in at least one of the below:

• Graduated with a degree in technical discipline by 1/11/26
• Prior intern, co-op, or research experience in IT, software, or relevant field is a plus
• Successful completion in a technical-related bootcamp