Junior AI Engineer (Pittsburgh, PA)

Wavestone•Pittsburgh, PA

7h•$80,000 - $100,000•Onsite

About The Position

We are seeking a motivated Junior AI Engineer to join our growing AI & Data Team. This role offers an opportunity to work alongside experienced consultants, architects, data scientists, and AI engineers to design, develop, and deploy innovative AI solutions that help clients solve complex business challenges. As a Junior AI Engineer, you will contribute to the delivery of enterprise AI, Generative AI, Agentic AI, and data-driven solutions across a variety of industries. You will gain hands-on experience with modern AI technologies, cloud platforms, automation tools, and large-scale enterprise environments.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
Open to recent graduates and early-career professionals with experience in software development, data engineering, AI, or related technical fields gained through academic projects, internships, or professional roles.
Understanding of machine learning concepts and AI fundamentals.
Experience with Python and common development frameworks.
Familiarity with SQL and working with structured and unstructured data.
Knowledge of REST APIs, Git, and software development best practices.
Strong analytical, problem-solving, and communication skills.
Strong communication and interpersonal skills, with the ability to present ideas clearly and build positive working relationships with team members and stakeholders.
Ability to work effectively in a fast-paced, client-focused consulting environment.
Ability to travel as required.
Only candidates legally authorized to work for any employer in the U.S on a full-time basis without the need for sponsorship will be considered. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

MBA preferred.
Exposure to Generative AI technologies such as Azure OpenAI, Anthropic Claude, or similar platforms.
Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
Knowledge of data visualization platforms such as Power BI.
Understanding of MLOps, model deployment, and AI governance concepts.
Relevant certifications in AI, cloud, or data technologies are a plus.

Responsibilities

Support the design, development, testing, and deployment of AI and machine learning solutions.
Assist in building Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
Develop and maintain data pipelines, integrations, APIs, and automation workflows.
Collaborate with consultants, solution architects, and client stakeholders to understand business requirements and translate them into technical solutions.
Configure, fine-tune, and evaluate AI models to improve performance and business outcomes.
Participate in data preparation, model training, prompt engineering, and solution validation activities.
Contribute to technical documentation, implementation guides, and client deliverables.
Support solution deployment, monitoring, troubleshooting, and performance optimization.
Stay current with emerging AI technologies, industry trends, and best practices.
Participate in workshops, demonstrations, and knowledge-sharing sessions with internal teams and clients.