Senior AI / ML Engineer

InquisIT is seeking a Senior AI/ML Engineer to support the research, development, integration, and operational implementation of advanced artificial intelligence and machine learning solutions for federal customers and internal innovation initiatives. This role will primarily support Air Force Weather (AFW) modernization efforts while also helping identify and implement reusable AI-enabled capabilities across other InquisIT programs., The Senior AI/ML Engineer will provide technical leadership and engineering support for AFW VPC 2.0 initiatives, helping apply modern digital engineering methods, cloud-native architectures, and ML Ops practices to advance Air Force Weather Cloud (AFWxC) and Weather Machine Learning Platform (WxMLP) capabilities., AI/ML Engineering and Digital Engineering

• Apply digital engineering methods to support AFW cloud software integration, system planning, and architecture validation.
• Evaluate and integrate AI/ML capabilities into operational Air Force Weather environments.
• Assess current and future AFWxC architectures using modern cloud engineering and systems engineering practices.
• Support modernization of AFWxC and WxMLP architectures, including cloud-native storage, data management, and ML Ops workflows.
• Collaborate with engineering and data teams to optimize management of ML Ops datasets and weather-related data products.
• Support integration of WxMOE into AFWxC through scalable cloud-native data processing pipelines.
• Extend ML Ops capabilities into classified environments, including JWCC and air-gapped IL6 Kubernetes deployments.
• Participate in requirements analysis, architecture reviews, technology evaluations, and operational deployment planning.

Enterprise AI and Automation

• Identify, prototype, and implement AI-enabled solutions that improve productivity, workflow automation, knowledge management, documentation generation, and operational efficiency.
• Design and evaluate agentic AI solutions capable of orchestrating multi-step workflows while maintaining governance, security, auditability, and human oversight.
• Assess business and technical processes to identify practical AI use cases that improve delivery speed and workforce effectiveness.
• Develop reusable AI patterns and automation capabilities that can be leveraged across multiple programs and internal operations.

Relevant Technologies and Platforms

AI and Agent Platforms

• Anthropic Claude / Claude Enterprise
• Microsoft Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry
• Salesforce Agentforce
• ServiceNow AI Agents and Now Assist
• Google Vertex AI Agent Builder
• AWS Bedrock Agents
• IBM watsonx Orchestrate
• UiPath AI Agents and Autopilot

Agentic AI and Orchestration Frameworks

• LangChain
• LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
• n8n
• Similar enterprise orchestration and workflow frameworks, The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Management reserves the right to modify, add, or remove duties and to assign other duties as necessary.

Do you have experience in Communication skills?, The ideal candidate is a senior technical engineer who bridges AI/ML engineering, cloud architecture, digital engineering, enterprise automation, and mission operations. They possess the ability to evaluate, implement, and operationalize AI, automation, and agentic AI technologies while balancing governance, security, identity management, auditability, observability, human oversight, cost, and operational readiness. This individual can move AI capabilities from research and prototype stages into secure, scalable, production environments that advance Air Force Weather modernization and broader organizational AI initiatives., * U.S. Citizenship required.

• Active Top Secret security clearance required; TS/SCI eligibility preferred.
• Advanced experience designing, developing, and deploying AI/ML solutions in cloud or hybrid-cloud environments.
• Strong understanding of ML Ops practices, including model development, training, deployment, monitoring, automation, and sustainment.
• Experience with cloud-native storage, distributed data processing, and scalable data pipeline architectures.
• Hands-on experience with Kubernetes, containerized workloads, DevSecOps practices, CI/CD pipelines, and cloud engineering.
• Experience evaluating system architectures, validating technical designs, and supporting operational deployment of AI/ML capabilities.
• Experience supporting regulated, classified, mission-critical, or high-security environments, preferably within federal or DoD organizations.
• Experience applying AI, automation, or data-driven solutions to improve operational workflows, knowledge management, productivity, or business processes.
• Familiarity with agentic AI concepts, including AI agents, workflow orchestration, tool integration, memory and context management, human-in-the-loop controls, and secure enterprise integration patterns.
• Ability to identify practical AI use cases, assess technical and business requirements, and implement secure, scalable solutions that improve mission and operational outcomes., * Experience supporting Air Force, DoD, Intelligence Community, or other federal mission customers.
• Familiarity with weather, environmental, geospatial, sensor, or operational data science applications.
• Experience with digital engineering, model-based systems engineering (MBSE), architecture modeling, or system-of-systems analysis.
• Experience supporting research-to-operations transitions, operational AI sustainment, ML governance, or production AI/ML programs.
• Experience implementing AI assistants, enterprise search, workflow automation, document generation, IT operations automation, or productivity copilots.

• Hands-on experience designing and implementing agentic AI workflows, multi-agent systems, or enterprise AI orchestration solutions.

• Strong written and verbal communication skills with the ability to explain AI/ML, cloud, and architecture concepts to technical and executive stakeholders.