AI Full Stack Engineer

We are seeking a motivated  AI Full Stack 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 an 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

• 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 Senior Leaders 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.

Qualifications :

Education

• Bachelors degree in Computer Science Data Science Information Technology Engineering or a related field.
• Masters preferred.

Required experience

• Looking for professionals with 1 years of experience in software development data engineering AI or related technical fields gained through 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 and problem-solving skills.
• Strong communication and interpersonal skills with the ability to present ideas clearly and build positive working relationships with team members and stakeholders.
• Foundational business acumen with the ability to connect technology and data concepts to business needs and outcomes
• 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 Snowflake Databricks or Google Cloud.
• Knowledge of data visualization platforms such as Power BI.
• Understanding of ML Ops 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.

Additional Information :

Travel Expectations

Consultants are 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.

Working arrangement

Hybrid role working in the office 2-3 days per week if not at a client site

Compensation and Benefits

• Placement within the salary range is based on the candidates 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)
• 35 Paid Time Off Days (inclusive of your personal 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 veterans status or any characteristic protected by law.

If you need flexibility assistance or an adjustment to our recruitment process due to a disability or impairment you may reach out to us to discuss this.

Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!! 

Remote Work :

No

Employment Type :

Full-time