UNKNOWN

FEED

Company Overview: General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. • Professional experience with data integration, data visualization, big data and programming skills, possessing a demonstrated understanding of artificial intelligence or machine learning with the ability to apply these skills under real world conditions.

YEAR

Basic Qualifications :
Requires a Bachelor’s degree in Engineering, or a related Science, Technology or Mathematics field. Also requires 2+ years of job-related experience, or a Master's degree and 6 months of job-related experience. CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is obtainable within a reasonable amount of time after hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position:
Job Summary: The AI Solutions Engineer will partner with our multi-disciplinary engineering development teams (Systems, Mechanical, Electrical, Software) to identify and implement artificial intelligence solutions. This role focuses on leveraging internal Large Language Models (LLMs) and other AI tools to accelerate the development lifecycle, enhance product quality, and automate mundane tasks. The ideal candidate is a creative problem-solver passionate about applying cutting-edge AI to real-world engineering challenges. Key Responsibilities:<ul style="margin-top:0in"><li>Collaborate with engineering teams to understand their workflows, identify pain points, and pinpoint opportunities for AI-driven process improvements.</li><li>Design, develop, and implement solutions using the company's existing LLM infrastructure to assist with tasks like code generation, documentation, data analysis, and requirements refinement.</li><li>Serve as a subject matter expert, providing training and support to engineers on how to effectively use new AI tools and methodologies.</li><li>Research, evaluate, and propose new AI/ML technologies and tools that could provide a competitive advantage.</li><li>Collaborate with existing and upcoming IT infrastructure and other stakeholders to resolve barriers to success.</li><li>Develop metrics to track the impact of AI implementations on development speed, quality, and team efficiency.</li></ul>Basic Qualifications:<ul style="margin-top:0in"><li>Very solid understanding of data science principles and techniques.</li><li>Demonstrated experience in software, systems, or other engineering development environment.</li><li>Strong analytical and problem-solving skills with the ability to bridge the gap between engineering problems and AI solutions.</li><li>Very solid proficiency in designing and implementing data analysis processes and experiments.</li><li>Hands-on experience with Large Language Models (LLMs), prompt engineering, or other generative AI technologies.</li><li>Ability to find meaningful insights from large data sources.</li><li>Expertise in machine learning tools and advanced statistical methods.</li><li>Able to implement complex agentic workflows</li><li>Proficiency in AI programming languages, Python at a minimum.</li><li>Excellent communication and interpersonal skills, with the ability to work effectively across diverse engineering disciplines.</li><li>Self-starter and motivated to work through hard problems, both technical and administrative.</li></ul>Preferred Qualifications:<ul style="margin-top:0in"><li>Familiarity with the full engineering product development lifecycle.</li><li>Experience with agile software development process.</li><li>Experience with process automation and optimization.</li><li>Understand cloud pricing models and be able to help with build vs buy decisions.</li><li>Aware of cybersecurity implications of different LLMs and different hosting environments</li></ul>Knowledge, Skills and Abilities:• Professional experience with data integration, data visualization, big data and programming skills, possessing a demonstrated understanding of artificial intelligence or machine learning with the ability to apply these skills under real world conditions• Very solid knowledge of either data mining tools, statistical pattern recognition, machine learning algorithms, predictive modeling and scripting• Demonstrates proficient judgement in selecting methods and techniques for obtaining analytical solutions• Capable of working on problems of diverse scope requiring extensive analysis of data and its evaluationGeneral Dynamics Proprietary Information• Experience working with and creating data architectures for distributed data• Experience with programming and scripting languages• Experience querying databases and using computer tools and programs• Experience using statistical computer languages to manipulate data and draw insights from large data sets• Background in data mining or statistical analysis or pattern recognition or predictive modeling skills• Able to understand various data structures and common methods in data transformation• Solid written and verbal communications skills• Identifies opportunities to apply AI for continuous improvement and innovation

Salary Note:
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range:
USD $114,441.00 - USD $126,958.00 /Yr.

Company Overview:
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

At General Dynamics Mission Systems, employees share a common mission to be a trusted partner to the U.S. defense, intelligence and homeland security communities. 

Whether you're working on the internal systems of a new ship strategic to the U.S. Navy's role in keeping sea lanes open, developing a camera system for the U.S. Army to protect our forces or helping the Department of Homeland Security coordinate defense against and response to cyber attacks, you'll share a sense of duty and patriotism common to all General Dynamics employees. 

When you join General Dynamics, you'll become part of a culture that nurtures innovation. We encourage our professionals to challenge the conventional way of doing things. And we motivate our employees to solve tough customer problems by promoting and sharing new ideas. 

Join a team that's dedicated to what matters most. Build your career at General Dynamics today. 

General Dynamics Mission Systems is a business unit of General Dynamics. Headquartered in Falls Church, Va., General Dynamics employs approximately 91,000 people worldwide. The company is a market leader in business aviation; land and expeditionary combat systems, armaments and munitions; shipbuilding and marine systems; and information systems and technologies.

General Dynamics Mission Systems, Inc

AI Solutions Engineer

Agile Programming Methodologies

Algorithms

Analysis Skills

Artificial Intelligence (AI)

Artificial Intelligence (AI) Programming Languages

Automation

Big Data

Bridge Building

Civil Engineering

Cloud Computing

Communication Skills

Computer Programming

Computer Skills

Continuous Improvement

Cross-Functional

Data Analysis

Data Mining

Data Science

Data Sets

Data Structures

Data Visualization

Documentation

Electricity

Information Technology & Information Systems

Internet Security

Interpersonal Skills

Machine Learning

Machine Tool

Mathematics

Metrics

Modeling Languages

Pattern Matching

Predictive Modeling

Presentation/Verbal Skills

Problem Solving Skills

Process Improvement

Product Development

Product Lifecycle

Product Pricing

Python Programming/Scripting Language

Requirements Management

Scripting (Scripting Languages)

Software Development

Statistics

Training/Teaching

United States Citizen

Writing Skills

[AW]-iCims

ADAPTED_NOW

This leader will shape the future of the AI-enabled digital workplace, while also overseeing the Microsoft 365 collaboration ecosystem—including SharePoint, Teams, Viva, and Office applications—to ensure these platforms support intelligent workflows, knowledge discovery, and modern employee experiences. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact.

HOUR

Title: Head of AI Productivity & Collaboration Platforms Location : Remote (will work EST & global business hours) Target Start Date : ASAP Type: Contract-to-Hire (conversion to FTE after 6 months) Pay Rate : $100.00-$125.00/hr (flexible DOE) Salary: $200-250K (flexible DOE) Overview Our client, a global leader in the design and manufacture of consumer and safety products, is seeking a Head of AI Productivity & Collaboration Platforms to lead the enterprise strategy for AI-powered workplace transformation. This role will drive the adoption of Microsoft Copilot, Azure AI services, Azure OpenAI and similar AI capabilities to fundamentally improve how employees automate work, access knowledge, and collaborate across the organization. This leader will shape the future of the AI-enabled digital workplace, while also overseeing the Microsoft 365 collaboration ecosystem—including SharePoint, Teams, Viva, and Office applications—to ensure these platforms support intelligent workflows, knowledge discovery, and modern employee experiences. The ideal candidate combines AI innovation leadership with deep Microsoft platform expertise to deliver scalable, secure, and high-impact productivity solutions across a global enterprise.<div align="center"><hr align="center"/></div> Key Responsibilities AI Productivity & Automation (≈60%)<ul><li> Lead enterprise strategy and implementation for Microsoft Copilot and AI-powered workplace solutions.</li><li> Drive adoption of Azure AI, Azure OpenAI and similar AI capabilities to enable intelligent automation, knowledge discovery, and workflow optimization.</li><li> Identify opportunities to apply AI to improve productivity, reduce manual work, and enhance decision-making across business functions.</li><li> Partner with business leaders to design AI-driven use cases that enhance collaboration, content management, and operational efficiency.</li><li> Establish governance, security, and responsible AI practices for enterprise AI adoption.</li><li> Build and maintain the AI productivity roadmap, aligning initiatives with organizational goals and digital transformation priorities.</li><li> Evaluate and integrate emerging AI tools and platforms to enhance the digital workplace.</li></ul><div align="center"><hr align="center"/></div> Collaboration Platforms & Digital Workplace (≈40%)<ul><li> Own the strategy, governance, and optimization of the Microsoft 365 collaboration ecosystem, including: <ul><li> SharePoint Online</li><li> Teams</li><li> OneDrive</li><li> Microsoft Office applications</li><li> Viva platform</li></ul></li><li> Define enterprise standards for content management, collaboration, and knowledge sharing across SharePoint, Teams, and Microsoft 365 platforms.</li><li> Drive improvements in the digital employee experience through modern workplace tools and platforms.</li><li> Ensure collaboration platforms are secure, scalable, and aligned with enterprise governance policies.</li><li> Oversee integrations with additional collaboration tools such as Confluence, Jira, Asana, and video collaboration platforms where applicable.</li><li> Promote best practices for collaboration, document lifecycle management, and enterprise knowledge management across Microsoft Teams, SharePoint, and the Microsoft 365 ecosystem.</li></ul><div align="center"><hr align="center"/></div> Requirements<ul><li> 8–12+ years of experience managing enterprise collaboration platforms or digital workplace technologies.</li><li> Strong experience with the Microsoft 365 ecosystem, including SharePoint, Teams, OneDrive, Office applications, and Viva.</li><li> Hands-on or strategic experience with Microsoft Copilot, Azure AI services, Azure OpenAI and similar AI capabilities.</li><li> Experience leading AI-driven workplace transformation initiatives.</li><li> Knowledge of enterprise collaboration governance, security, and compliance frameworks.</li><li> Experience integrating collaboration platforms with enterprise productivity and workflow tools.</li><li> Proven ability to partner with business leaders and IT teams to drive technology adoption and measurable productivity improvements.</li><li> Strong leadership, communication, and cross-functional collaboration skills.</li></ul> Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at <a href="https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.consultnet.com%2F&data=05%7C02%7Cmkaley%40consultnet.com%7Cb8ec4a55132b460db81708de4c5f35db%7Cc547170a3c8a45d28c4e0a8b41e0a0ef%7C1%7C0%7C639032168981670885%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=3TbR%2Bth9rlhJQvywIXp1BRs0R1mF7VIhVZP%2FNSBQ%2Fnk%3D&reserved=0" rel="nofollow"> www.consultnet.com</a> . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

ConsultNet

Head of AI Productivity & Collaboration Platforms

Atlassian JIRA

Consulting

Content Development

Content Management

Ecosystems

International Business

Leadership

Microsoft Product Family

Microsoft SharePoint

Microsoft Windows Azure

Productivity Management

Standards Development

Team Player

Use Cases

As a senior technical leader, you will operate at the intersection of AI, data, and enterprise systems, guiding the organization in leveraging agentic AI, advanced analytics, and modern data platforms to transform end-to-end processes across manufacturing, supply chain, and corporate domains. Experience across multi-cloud AI ecosystems and platforms, including Microsoft (Copilot, Azure AI), AWS, Google Cloud, and modern data platforms (Snowflake, Databricks, etc.)Strong understanding of business process architecture and enterprise systems (ERP, CRM, MES, HRIS).

Title: Senior AI Engineer (Architect) – Enterprise Business Process Automation Location : Remote (EST business hours) Target Start Date : ASAP Type: Contract Pay Rate : $90.00-$110.00/hr (negotiable DOE)Overview We are seeking a Senior AI Engineer (Architect) to define and lead the enterprise strategy for AI-driven business process automation. This role is responsible for shaping the architecture, governance, and scalable adoption of AI technologies across core business functions, enabling intelligent, data-driven, and increasingly autonomous operations. As a senior technical leader, you will operate at the intersection of AI, data, and enterprise systems, guiding the organization in leveraging agentic AI, advanced analytics, and modern data platforms to transform end-to-end processes across manufacturing, supply chain, and corporate domains.<hr/> Key Responsibilities AI & Data Architecture Leadership<ul><li>Define and own the enterprise AI architecture, including LLM-based systems, agentic AI frameworks, and decision intelligence platforms.</li><li>Establish reference architectures and design patterns for scalable AI solutions (e.g., RAG, multi-agent systems, knowledge-driven AI).</li><li>Architect integration between AI systems, enterprise applications, and data platforms (data lakes, warehouses, lakehouses).</li><li>Drive alignment of AI initiatives with enterprise data strategy, governance, and analytics frameworks.</li></ul><hr/> Enterprise Automation Strategy<ul><li>Lead the identification and prioritization of high-value AI automation opportunities across key business domains: <ul><li>Sales & commercial operations</li><li>Supply chain, logistics, and inventory</li><li>Finance (P2P, O2C, R2R)</li><li>HR and payroll</li></ul></li><li>Define how agentic AI and intelligent workflows can re-architect business processes—not just optimize them.</li><li>Partner with executive and functional leaders to align AI initiatives with business outcomes, ROI, and transformation goals.</li></ul><hr/> Platform & Technology Strategy<ul><li>Evaluate and define the enterprise approach to AI platforms and tooling, including: <ul><li>Multi-cloud AI services (Azure, AWS, Google Cloud)</li><li>Data platforms (Snowflake, Databricks, BigQuery)</li><li>LLM frameworks and orchestration tools (LangChain, Semantic Kernel, etc.)</li></ul></li><li>Establish standards for model selection, orchestration, integration, and scalability.</li><li>Guide build vs. buy decisions and ensure interoperability across the AI ecosystem.</li></ul><hr/> Data & Analytics Enablement<ul><li>Ensure AI solutions are built on a strong foundation of data architecture and governance, including: <ul><li>Data lakes, warehouses, and lakehouse models</li><li>Data quality, lineage, and accessibility</li><li>Real-time and batch data processing</li></ul></li><li>Champion the use of AI to enhance enterprise analytics, forecasting, and decision support.</li><li>Drive convergence of AI, BI, and advanced analytics into unified decision intelligence capabilities.</li></ul><hr/> Governance, Risk & Operationalization<ul><li>Define and implement AI governance frameworks, including responsible AI, security, compliance, and model risk management.</li><li>Establish enterprise standards for MLOps/LLMOps, monitoring, observability, and lifecycle management.</li><li>Ensure AI systems are scalable, secure, auditable, and aligned with regulatory requirements.</li></ul><hr/> Leadership & Influence<ul><li>Serve as a thought leader and advisor to senior leadership on AI strategy, capabilities, and roadmap.</li><li>Mentor engineering teams and influence adoption of AI-first and data-driven practices across the organization.</li><li>Foster collaboration across IT, Engineering, Data, and Business functions to ensure successful execution of AI initiatives.</li></ul><hr/> Required Qualifications<ul><li>10–15+ years of experience in software engineering, data engineering, or enterprise architecture, with significant focus on AI/ML solutions.</li><li>Proven track record defining and delivering enterprise-scale AI and automation strategies.</li><li>Deep expertise in: <ul><li>AI/ML architectures, including LLMs, RAG, and agentic systems</li><li>Enterprise data platforms (data lakes, warehouses, lakehouse architectures)</li><li>System integration and enterprise architecture patterns</li></ul></li><li>Experience across multi-cloud AI ecosystems and platforms, including Microsoft (Copilot, Azure AI), AWS, Google Cloud, and modern data platforms (Snowflake, Databricks, etc.)Strong understanding of business process architecture and enterprise systems (ERP, CRM, MES, HRIS).</li><li>Experience establishing governance, MLOps/LLMOps frameworks, and scalable AI platforms.</li><li>Ability to translate business strategy into technical architecture and execution roadmaps.</li></ul><hr/> Nice to Have<ul><li>Experience in manufacturing, supply chain, or industrial environments.</li><li>Familiarity with IoT/edge data, real-time analytics, and operational systems.</li><li>Background in digital transformation, process re-engineering, or enterprise architecture (TOGAF, etc.).</li></ul><hr/> Impact<ul><li>Define and scale the organization’s enterprise AI and automation strategy</li><li>Transform core business processes through intelligent, autonomous systems</li><li>Enable data-driven decision-making and operational excellence at scale</li><li>Establish a foundation for long-term AI innovation and competitive advantage</li></ul> Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at <a href="https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.consultnet.com%2F&data=05%7C02%7Cmkaley%40consultnet.com%7Cb8ec4a55132b460db81708de4c5f35db%7Cc547170a3c8a45d28c4e0a8b41e0a0ef%7C1%7C0%7C639032168981670885%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=3TbR%2Bth9rlhJQvywIXp1BRs0R1mF7VIhVZP%2FNSBQ%2Fnk%3D&reserved=0" rel="nofollow"> www.consultnet.com</a> .We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

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AI Solutions Engineer General Dynamics Mission Systems, Inc

Head of AI Productivity & Collaboration Platforms ConsultNet

Senior AI Engineer (Architect) – Enterprise Business Process Automation ConsultNet

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