• Design, build, and maintain high-quality software systems and services. • Work on a variety of technologies, frameworks, and platforms, adapting quickly as project needs evolve. • Solve complex technical and logical problems with efficient and well-structured solutions. • Leverage AI-powered development tools to accelerate development, debugging, research, and documentation. • Collaborate with engineers, architects, and product stakeholders to deliver reliable solutions. • Participate in code reviews, testing, and performance improvements. • Continuously learn and experiment with new programming languages, frameworks, and technologies. • Contribute ideas that improve engineering productivity, automation, and innovation.

Role Description Make an Impact in Federal AI — Without a Full-Time Commitment. DKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. This role is ideal for an experienced AI professional who wants to apply deep technical and federal market expertise in a flexible, half-time role with an expected commitment of 40 hours or less per month. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments-- we would like to hear from you. - Design, develop, and deploy machine learning models and AI-powered applications - Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs - Build and maintain data pipelines, model training workflows, and inference systems - Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks - Monitor model performance, conduct testing, and iterate on improvements - Document technical architectures, methodologies, and best practices - Stay current with AI/ML research and translate advancements into practical applications Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field - Proven experience in machine learning, deep learning, or AI engineering - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn - Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face) - Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices - Strong analytical and problem-solving skills with attention to detail - Excellent communication skills and ability to present technical concepts to non-technical stakeholders Requirements - Master’s degree in a related field (preferred) - Federal AI strategy, digital transformation, or data modernization experience (preferred) - Familiarity with Responsible AI and AI governance (preferred) - Consulting experience supporting government clients (preferred) Benefits - Employee discounts - Health insurance - Paid time off - Dental insurance Company Description DKC Group is a Maryland based consulting firm dedicated to delivering innovative, technology-driven solutions to our clients. We pride ourselves on a culture of collaboration, continuous learning, and excellence that keeps both our clients and our team members coming back. At D. Kent Consulting Group, you'll find a dynamic environment where your ideas are valued, and your career can truly thrive. Flexible work from home options available.

• Architect and lead development of scalable, end-to-end LLM-powered agentic systems, including strategic planning, memory management, structured prompt engineering, and multi-agent orchestration. • Define, implement, and optimize MCP-compliant servers, establishing robust, modular, and context-rich interactions among AI components. • Provide strategic direction and technical leadership for developing APIs and backend services using FastAPI to orchestrate complex agent workflows. • Oversee design and development of dynamic, performant frontend applications built in Next.js for intuitive user interaction with intelligent systems. • Lead architectural planning and execution of deployments on Google Cloud Platform (Cloud Run, GKE, Cloud Functions), ensuring high availability, scalability, and cost efficiency. • Implement sophisticated multi-agent coordination using orchestration frameworks such as AutoGen, CrewAI, or LangGraph, ensuring cohesive, structured reasoning among distributed agentic components. • Design and optimize integrations with vector databases (e.g., Qdrant), establishing schemas and pipelines for efficient long-term memory, semantic search, and retrieval. • Act as a technical liaison between product, engineering, and infrastructure teams to align architecture with business strategy; mentor engineers on best practices for AI architecture, scalability, and performance.

Role Description As a AI Agent Engineer (AIAE), specializing in strategic implementations and partnership initiatives at Moveworks, you’ll be responsible for ensuring a successful technical delivery of the Moveworks platform for new customers and initiatives, working alongside Implementation Managers and the broader Partner ecosystem to understand customer requirements, perform discovery, and drive all technical aspects around our post-sales engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering. Your primary mission is to translate complex customer business process challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities in the current product but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform. Core Responsibilities & Impact - Customer Technical Relationships: Partner deeply with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks Platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch. - Custom Solution Design: Architect, design and consult with customers to develop high-impact technical AI solutions on the Moveworks platform by helping them leverage AI in novel and meaningful ways to solve complex business challenges. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications - 8+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems - Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions Benefits - Base pay of $137,700 - $241,000, plus equity (when applicable), variable/incentive compensation and benefits. - Health plans, including flexible spending accounts. - 401(k) Plan with company match. - ESPP, matching donations. - Flexible time away plan and family leave programs.