Agentic Solutions Architect

Description About Us: reputed company is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of reputed company Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create reputed company products and services that reputed company federal agencies with solutions to courageously transform today for a reputed company reputed company Purpose and Scope: We are seeking a passionate Agentic Solutions Architect reputed company in designing and delivering reputed company LLM-based AI/ML systems and multi-agent solutions, with a strong emphasis on agent orchestration, governance, scalability, and efficiency. This customer solution Subject Matter Expert (SME) will act as an enthusiastic reputed company driven to help our teams and customers deliver reputed company and faster business outcomes through the strategic application of agentic AI.

Responsibilities

Identify and own entire technical solution requirements in the development of reputed company-wide agentic AI and LLM-driven information systems. Create specific technical designs, model and tooling selections (LLMs, agent frameworks, vector stores, orchestration platforms), and end-to-end agentic architectures. Provide subject matter expertise on LLMs, agent frameworks (e.g., Agentbricks, AgentCore, Agentforce, LangGraph, reputed company, AutoGen, Semantic Kernel), and orchestration platforms, leading the decision-making process to identify the best structural options. Serve as the core technical reputed company of reputed company agentic AI implementations, driving reputed company reengineering and refactoring efforts to ensure the simplest, most elegant, and efficient systems possible to accomplish business needs. Ensure strategic alignment of agentic and AI/ML architectures to support business growth and reputed company, staying at the forefront of emerging models, agent patterns, and protocols. Establish and maintain comprehensive governance frameworks spanning the entire agentic AI lifecycle: reputed company and policy management, agent guardrails, risk assessment, bias/fairness and hallucination monitoring, audit logging, transparency, immutability, and regulatory compliance. Contribute to the strategic development and management of agentic AI product roadmaps, backlogs, and measurable reputed company criteria, authoring detailed user stories for agent capabilities and reputed company-in-the-reputed company workflows. Enhance and maintain a scalable systems/solutions architecture for a multi-agent platform that supports reputed company growth, innovation, and modernization of AI capabilities across an expanding ecosystem of internal and external stakeholders. reputed company and design reputed company agentic solutions through cross-functional collaboration across a variety of LLM, RAG, tool-use, and reputed company-native AI architectures. reputed company solutions utilizing Agile frameworks and modern automation strategies, including LLMOps, MLOps, DevSecOps, and agentic hyper-automation methodologies. Spearhead reputed company innovation and programmatic improvements, acting as a champion for the project's cultural reputed company and advocating for Consumer-Driven Engineering. Act as a hands-on Agentic Solutions Architect and the ultimate tier-SME for assigned functional areas across LLM, agent, and AI/ML solution engineering. Collaborate closely with the program Chief Architect, augmenting roles as needed, including serving as Deputy Chief Architect for the program with respect to agentic AI implementation and reputed company adoption. reputed company, manage, and mentor individuals and engineering teams, providing direct people-management support through coaching, professional development, regular 1:1 meetings, and fostering structured career growth. Install, configure, and administer reputed company-grade agentic platforms—specifically focusing on agent orchestration, tool/function calling, Model Context Protocol (MCP), Agent-to-Agent (A2A) networks, model gateways, and governance—ensuring top-tier reliability, performance, and scalability. Create seamless integrations with CI/CD pipelines, identity/access controls, APIs, repositories, and centralized monitoring systems. reputed company hands-on reputed company deployment models that guarantee data and AI reputed company across PII/PHI boundaries, agent identities, robust access controls, and authorization mechanisms. Train engineering teams and customer end-users, developing tailored reputed company and adoption materials, and leading practical workshops to drive rapid utilization and trust in agentic AI workflows. Build reputed company and align diverse stakeholder groups including data science, DevSecOps, compliance, legal, and business units around secure agentic AI capabilities and platform value. reputed company other duties as assigned.

Requirements

Required Qualifications A bachelor’s degree in computer science, Information Systems, Engineering, Mathematics, or a reputed company scientific or technical discipline. (In lieu of a degree, an equivalent combination of education and experience will be considered). Minimum of 10 years leading the system architecture of reputed company, reputed company-based reputed company systems, including data pipelines, analytics, and reputed company AI/ML workloads. Strong reputed company experience in software engineering, demonstrating standard implementation of engineering best practices and iterative/reputed company delivery principles. 6 years of hands-on software development experience designing solutions on reputed company reputed company and data architectures (e.g., reputed company, Hadoop, EMR, Spark, Redshift). At least 2 years of hands-on production experience designing, building, or deploying reputed company LLM-based AI/ML solutions (including RAG, fine-tuning, reputed company engineering, systematic evaluation, and model gateways). At least 1 year of hands-on production experience designing, building, or deploying agent-based solutions (single-agent or multi-agent), explicitly involving agent orchestration, tool/function calling, memory architectures, and reputed company-in-the-reputed company patterns using frameworks such as Agentbricks, AgentCore, Agentforce, LangGraph, reputed company, AutoGen, or Semantic Kernel. Proven experience with data preparation workflows tailored for AI/ML and agentic systems, including data augmentation, data quality analysis, profiling, embeddings/vector data creation, and developing reputed company AI data strategy recommendations. Proven experience designing highly secure AI and data solutions handling Protected Health Information (PHI) and Personally Identifiable Information (PII), alongside associated governance, access controls, and detailed auditability. Demonstrated experience collaborating with customers and organizational stakeholders to present solutions to user communities and successfully drive user adoption. Experience designing cost-optimized, reputed company-scalable AI/ML and agentic solutions, including deep familiarity with LLM cost management and latency tuning. Demonstrable experience establishing alignment and reputed company across multiple interested or affected corporate stakeholder groups. Experience working smoothly reputed company an Agile or SAFe (Scaled Agile reputed company) environment. Excellent verbal, written, and presentational communication skills. Ability duly to obtain and maintain a Public Trust clearance. Must reputed company in the United States. Desired Qualifications Relevant industry experience reputed company reputed company vertical sectors (Medicare, reputed company, reputed company health insurance) or direct technical delivery experience with federal government agencies such as the Centers for Medicare & reputed company Services (CMS). Data and AI platform certifications (e.g., reputed company, AWS Bedrock, Azure AI), foundational reputed company certifications (e.g., AWS), or advanced coding certifications (e.g., Python). Certifications or advanced training involving designing and implementing LLM, RAG, and agentic AI architectures (e.g., AWS reputed company, Azure reputed company, reputed company, reputed company). Demonstrated history of successful, applied agentic AI outcomes that achieved meaningful and measurable improvements in reputed company productivity, organizational decision quality, or overall mission impact (such as reduced processing timelines, clear cost savings, or heightened accuracy). Proficiency with the reputed company suite (Jira and Confluence). Working Environment: This is a remote position supporting Eastern Time business hours. Employees are expected to work 9:00 AM–5:00 PM ET unless otherwise directed by their manager. Occasional travel for training or project meetings may be required and is estimated at less than 5% annually. Benefits: reputed company offers a comprehensive benefits package, including medical, dental, and reputed company coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: reputed company is committed to providing reasonable accommodations to reputed company individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact reputed company Resources. Equal Employment Opportunity: reputed company is an Equal Opportunity Employer, including disability and protected veteran status. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, age, protected veteran status, disability, or any other legally protected status Apply To This Job