Artificial Intelligence Engineer

Job Opening: AI/ML Engineer 📍 Location: Pittsburgh, PA – Fully Onsite 🕒 Duration: 08+ Months (Possible Extension) | Contract to FTE 🏢 Client: Confidential – Fortune Banking Client Job Description: 💼 Employment Type: Contract to Hire (W2 Only) 🌟 Position Overview As a AI/ML Engineer within the Technology organization, you will play a critical role in designing and delivering high‑impact AI and data science solutions. This role requires close collaboration with both business and technical stakeholders to identify, prioritize, and implement data‑driven opportunities that drive measurable business outcomes. 🔑 The team’s mission includes: • Equipping teams with the tools, skills, and environments needed to manage increasing complexity • Enabling faster, more informed decision‑making on critical business initiatives • Driving AI‑based automation and data‑driven optimization of business processes, allowing teams to focus on high‑value strategic work ⚠️ This is a fully onsite role in Pittsburgh, PA. Candidates are encouraged to discuss workplace expectations with recruiters and hiring managers to ensure alignment with career goals. 🛠️ Key Responsibilities • 🤝 Act as an internal consultant to gather, clarify, and translate business requirements into technical solutions • 🧭 Communicate and align cross‑functional technical teams toward successful solution delivery • 🧠 Design, build, orchestrate, and implement machine learning models end‑to‑end • 🛡️ Embed model governance, risk management, and regulatory compliance throughout the ML lifecycle • 🚀 Deploy and support AI/ML solutions in production environments • 📊 Monitor model performance, maintain ongoing stability, and drive continuous improvements • 📦 Lead release planning, coordination, and hands‑on support during production release windows • 🤖 Leverage Generative AI and Large Language Models (LLMs) where applicable (preferred but not required) 📊 Core Job Functions • Lead analytical initiatives using large volumes of structured and unstructured data to produce actionable insights • Direct data collection, preparation, processing, and mining of complex datasets • Develop and deploy advanced machine learning, statistical, and mathematical models to predict outcomes and recommend actions • Design and execute structured analytical experiments to identify optimization opportunities across products and processes • 📈 Present insights and recommendations to leadership using compelling data visualization and storytelling • 🤝 Partner with Data Architects, Data Engineers, Data Analysts, and Visualization Specialists to deliver scalable, enterprise‑ready solutions 🏢 Employee Expectations Employees are expected to consistently demonstrate: • 🎯 Customer Focus: Deep understanding of customer needs and embedding them into data‑driven solutions • ⚖️ Risk Management: Identifying, assessing, and mitigating risks in accordance with enterprise risk management frameworks ✅ Preferred Skills • Analytical Thinking • Artificial Intelligence (AI) • Data Science & Data Analytics • Data Mining • Machine Learning (ML) • Model Governance • Solution Design & Implementation • Business & Technical Consulting 🧩 Core Competencies • Data Architecture • Data Mining • Disruptive Innovation • Information Capture & Management • Machine Learning • Data, Process, Event, and Object Modeling • Prototyping • Query & Database Access Tools