Junior AI Engineer (Pittsburgh, PA)
Wavestone- Location
- Pittsburgh, PA, United States
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 6d ago
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.
This full-time position is based in our Pittsburgh office. You must reside within commuting distance of our North Shore office.
This role is expected to work flexibly based on client and business needs. This role may require periodic travel to client sites and/or attendance at a designated hub office to support project delivery, collaboration, and team engagement.
Responsibilities
- upport 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.
Education
- Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
- MBA preferred.
Required experience
- 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.
Preferred experience
- 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.
*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.
Compensation and Benefits
- Placement within the salary range is based on the candidate’s experience, qualifications, demonstrated capabilities, and alignment with the requirements of the role.
- Bonus eligible
- 401K Savings Plan with Company Match
- Medical / Dental / Vision coverage
- Employee Stock Options Plan (ESOP)
- 25 PTO / 6 Federal Holidays / 4 Floating Holidays
- 4 months parental leave to birthing parent / 2 months to supporting parent
Diversity and Inclusion
Wavestone is an equal opportunity employer. We embrace diversity as a core component of our culture. Our collective success depends heavily on the recruitment and inclusion of qualified professionals, regardless of individual characteristics such as race, ancestry, religion, color, sex, age, national origin, sexual orientation, gender identity, disability, veteran’s status, or any characteristic protected by law.
Skills
- Generative AI
- Machine Learning
- Prompt Engineering
- Python
- SQL
- Git
- Azure OpenAI
- Anthropic Claude
- Azure
- AWS
- GCP
- Power BI
- MLOps
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