eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.
Role Overview
eNGINE is partnering with a Pittsburgh-based enterprise that has established a forward-looking artificial intelligence roadmap and is actively moving from strategy into execution. This team is hiring experienced AI Engineers to transform defined concepts and requirements into real, production-ready solutions.
This role is ideal for a software engineering professional who has evolved into AI delivery—someone comfortable writing code, architecting solutions, and collaborating directly with operational stakeholders. You’ll help translate business needs into scalable generative AI capabilities while laying the groundwork for future agentic platforms.
Key Responsibilities
Architect and deliver enterprise generative AI applications from concept through production deployment
Translate functional requirements into technical AI solution designs aligned to enterprise architecture standards
Build integrations between large language model platforms and internal applications, data platforms, and workflows
Develop and optimize prompt strategies, orchestration logic, and contextual grounding techniques
Partner with business teams to uncover automation and augmentation opportunities powered by AI
Engineer reusable components, accelerators, and design patterns to streamline solution delivery
Implement operational processes supporting model deployment, monitoring, and lifecycle management
Conduct structured validation activities including performance measurement and output quality analysis
Contribute to secure, compliant AI adoption aligned with enterprise governance expectations
Collaborate with cloud, data, and cybersecurity teams to ensure resilient solution design
Research emerging agentic frameworks and experiment with next-generation capabilities
Produce technical documentation covering architecture, data flow, and operational support models
Required Qualifications
Background in software engineering with strong development capabilities in Python or Java
Hands-on experience delivering enterprise generative AI solutions in production environments
Direct experience with AWS Bedrock and/or Azure AI Foundry & Copilot
Understanding of application architecture and enterprise data ecosystems
Experience integrating AI services through APIs and service layers
Familiarity with vector databases, embeddings, and retrieval frameworks
Knowledge of modern AI solution patterns such as retrieval-augmented generation (RAG)
Exposure to CI/CD pipelines and automated deployment methodologies
Ability to operate comfortably in both technical and business discussions
Strong written and verbal communication skills
Preferred Experience
Experience designing AI accelerators such as prompt libraries or reusable service frameworks
Familiarity with model evaluation techniques and output risk mitigation approaches
Exposure to knowledge graphs or semantic data structures
Experience working in regulated or governance-heavy environments
Understanding of MLOps tooling and model lifecycle processes
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or similar discipline
Relevant AI or cloud certifications
Success Profile
Proven history of building and implementing AI solutions—not just prototyping
Comfortable engaging stakeholders and translating non-technical requirements
Able to balance experimentation with production discipline
Passion for emerging agentic AI capabilities and future-state automation models
Self-directed with the ability to manage multiple initiatives simultaneously
eNGINE is a Technical Solutions firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Successful outcomes start and finish with eNGINE.
