AI/ML Technical Lead

Description

Job Purpose

GCubed, Inc. is seeking an AI/ML Engineer to design, build, and deploy machine learning models and AI-powered solutions that solve real business problems. This role will work closely with engineering, product, data, and business teams to turn complex data into scalable, practical, and measurable solutions. The ideal candidate has strong technical skills, curiosity, problem-solving ability, and experience with Large Language Models (LLMs).

Essential Functions of the Job

• Design, develop, test, document, and maintain AI-enabled applications and services. Implement AI and agent workflows.
• Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with authorized enterprise information sources.
• Integrate AI models with APIs, enterprise applications, and business workflows, including appropriate tool use and human review.
• Work with product owners, users, and functional specialists to understand needs and translate them into technical designs, user stories, and acceptance criteria.
• Develop and maintain application components, APIs, and services using Python and established software engineering practices.
• Create and execute automated tests and evaluations to assess accuracy, relevance, grounding, safety, and performance.
• Troubleshoot application and model behavior; use test results and user feedback to improve solution quality.
• Support deployment and operations, monitoring, documentation, incident resolution, and ongoing maintenance.
• Apply security and privacy requirements, including identity and access controls, authorization-aware retrieval, and protection of sensitive data.
• Collaborate with data, cloud, cybersecurity, DevSecOps, and software engineering teams to integrate solutions into the enterprise environment.
• Contribute reusable components, technical documentation, and engineering practices that improve consistency and maintainability.
• Contribute to the development of the AI Safety/Alignment policies, procedures, etc., for ensuring ethical, controllable, and aligned artificial intelligence systems and agents

Qualifications

Required Qualifications

• Minimum active secret clearance
• Security+ certification
• At least three years of experience in software engineering, application development, AI/ML engineering, or a related technical field.
• Demonstrated experience developing software applications or services using Python and APIs.
• Hands-on experience building generative AI or machine learning applications that integrate models with data, applications, or workflows.
• Experience using LangChain, Microsoft Agent Framework, or a comparable framework to build AI or agent-based capabilities.
• Understanding of RAG, prompt and context design, model or application evaluation, and integration with enterprise data.
• Familiarity with cloud-based application development and deployment; experience with AWS is preferred.
• Experience integrating AI applications with enterprise systems, microservices, and web interfaces.
• Understanding secure software development and the need to protect sensitive information and restrict access to enterprise data. Ability to work collaboratively with technical teams, product staff, and functional stakeholders, and to communicate technical work clearly.

Preferred Qualifications

• Bachelor's degree + 10 years of experience in artificial intelligence, machine learning, software engineering, or related field
• Familiarity with AI safety frameworks such as the NIST AI Safety Framework to support implementation of alignment controls in artificial intelligence LLMs and agents.
• Experience implementing authorization-aware RAG, data filtering, and access controls for retrieval and tool use.
• Experience with AI evaluation methods, test sets, tracing, observability, and monitoring for quality, latency, and cost.
• Familiarity with responsible AI practices, including human review, explainability, and safe handling of uncertain or unsupported outputs. Relevant cloud, AI, or software engineering certifications.
• Experience with Ask Sage

Technical Skills

• Languages: Python, SQL, R preferred

• ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost

• Cloud Platforms: AWS, Azure, or Google Cloud

• MLOps: Docker, Kubernetes, MLflow, Airflow, CI/CD

• Data Tools: Pandas, NumPy, Spark, Snowflake, Databricks

• AI/LLM Tools: Hugging Face, LangChain, OpenAI, vector databases

 

Working Conditions

Primarily in an office environment.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. The employee is occasionally required to sit; climb or balance; and stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

Benefits

GCubed offers the following benefits to full time employees: Medical Insurance, Dental Insurance, Vision Insurance, Company Paid Life Insurance, Short Term Disability, Flexible Spending Account, 401k Retirement Savings Plan with Company Match, Tuition and Professional Development Assistance, 529 College Savings Plan and Tricare Supplement Insurance.

EEO Statement

GCubed, Inc. does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Salary

$140,000.00 - $165,000.00 Salary/year