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Artificial Intelligence Engineer

LanceSoft, Inc. • Pittsburgh, PA

Mid-Senior level Posted April 5, 2026 Job link

Thinking about this job

Responsibilities

Commitments

Responsibilities

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

Not Met Priorities

What still needs stronger evidence

Requirements

🤖 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
🎯 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

Preferred Skills

🤖 Leverage Generative AI and Large Language Models (LLMs) where applicable (preferred but not required) 📊 Core Job Functions
⚖️ Risk Management: Identifying, assessing, and mitigating risks in accordance with enterprise risk management frameworks ✅ Preferred Skills

Education

(Not required) – Data Science & Data Analytics
(Not required) – Data Mining
(Not required) – Machine Learning (ML)

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