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Generative Ai Architect Jobs in Silver Spring, MD

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Generative Ai Architect information

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$48.1K

$133.1K

$208.3K

How much do generative ai architect jobs pay per year?

As of Aug 10, 2026, the average yearly pay for generative ai architect in Silver Spring, MD is $133,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $171,600.00 per year, depending on experience, location, and employer.

What is the salary of generative AI architect?

The salary of a generative AI architect typically ranges from $120,000 to $180,000 annually in many regions, depending on experience, skills, and location. Senior roles with advanced expertise in machine learning, deep learning, and AI frameworks can earn higher compensation, often exceeding $200,000 with bonuses and benefits.

What are the key skills and qualifications needed to thrive as a Generative AI Architect?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

What are the main challenges a Generative AI Architect faces when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What is the difference between Generative Ai Architect vs Data Scientist?

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

What job categories do people searching Generative Ai Architect jobs in Silver Spring, MD look for? The top searched job categories for Generative Ai Architect jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Generative Ai Architect jobs? Cities near Silver Spring, MD with the most Generative Ai Architect job openings:
Infographic showing various Generative Ai Architect job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% Hybrid, and 67% Remote job distribution, with an average salary of $133,105 per year, or $64 per hour.

Senior AI Solutions Architect, Generative AI with Security Clearance

Amentum

Reston, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges in science, security and sustainability. Our people apply undaunted curiosity, relentless ambition and boundless imagination to challenge convention and drive progress. Our commitments are underpinned by the belief that safety, collaboration and well-being are integral to success. Headquartered in Chantilly, Virginia, we have approximately 50,000 employees in more than 70 countries across all 7 continents. The Senior AI Solutions Architect - Generative AI is the senior technical leader for the AI Center of Excellence's (AI COE) Generative AI and large language model (LLM) architecture. The role translates Amentum's AI strategy into working capabilities - designing, prototyping, and deploying GenAI solutions that drive waves of pilots projects ("lighthouse") to delivery and seed reusable patterns. This role is expected to operate as a senior technical lead for the COE's GenAI architecture and to grow into broader COE technical leadership responsibilities over the first 6-12 months. This role is Hybrid to our Reston, VA office and US Citizenship is required. Key Outcomes * Architect and deploy GenAI components for lighthouse AI projects. * Stand up the COE's GenAI reference architecture (RAG, agent orchestration, model routing, evaluation, and guardrails) on Amentum's two-cloud posture (Azure Commercial for COE, Azure Gov for customer-mandated programs). * Evaluate and recommend GenAI tools, models, and platforms; lead vendor technical evaluation across the multi-vendor RFI process. * Grow into broader COE technical leadership responsibilities - including spoke-team technical mentorship and AI Advisory Council technical readiness - over the first 6-12 months. Core Responsibilities * Design, develop, and deploy GenAI / LLM-based solutions to production for initial lighthouses, with measurable execution criteria. * Build and prototype AI applications that support enterprise, mission, and customer-facing use cases. * Work hands-on with foundation models, agent frameworks, RAG architectures, fine-tuning approaches, and evaluation harnesses. * Collaborate with the AI Solutions Architect - Programs & Delivery (peer role) on JANUS-tracked delivery and Council package preparation. * Integrate GenAI solutions into enterprise systems, mission workflows, and the AI platform under construction. * Contribute to the COE's reusable assets library, technical patterns, and AI engineering best practices - including responsible AI, model security, and governance. * Lead technical evaluation of vendor capabilities through the multi-vendor RFI and Forward Deployed Engineering engagements. * Mentor spoke-team technical leads and operating-group AI developers across the organization. Knowledge, Skills and Abilities: * Senior technical judgment - ability to architect end-to-end AI systems with attention to performance, cost, security, and maintainability. * Track record of leading technical delivery in cross-functional environments. * Strong communicator - able to explain technical tradeoffs to executive and business audiences. * Comfortable in ambiguity; able to set technical direction and bring others along. Minimum Requirements * Typically 8+ years of progressive experience in AI development, machine learning engineering, or applied AI; 3+ years hands-on with Generative AI / LLM systems with a Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Master's or Ph.D. preferred. * Production experience deploying Generative AI / LLM applications, including RAG, agentic workflows, and tool-use patterns. * Hands-on AI/ML solution development across the full lifecycle - design, training/fine-tuning, evaluation, deployment, and monitoring. * Knowledge of AI frameworks (PyTorch, LangChain, LlamaIndex, Semantic Kernel, or equivalents) and foundation-model ecosystems (Azure OpenAI, AWS Bedrock, open-source). * Experience with AI pipelines, vector databases, and data engineering for AI workloads. * Cloud-native architecture experience on Azure (preferred), AWS, or GCP. * US Citizenship is required. Preferred Qualifications * Experience deploying LLM-based applications in regulated or government environments. * Familiarity with Azure AI Foundry, Azure OpenAI Service, AWS Bedrock, and SageMaker. * Background in responsible AI, model risk management, NIST AI RMF, or EU AI Act categorization. * Experience with multi-vendor AI engagements, hyperscaler partner relationships, and Forward Deployed Engineering models. * Government or mission-driven environment experience; familiarity with FedRAMP, IL5/IL6, and ATO processes. * Active Secret or TS clearance. Work Environment: Hybrid; high technical collaboration across the AI COE hub, operating-group spokes, IT, and business teams. Work Schedule: Standard business hours with flexibility based on project demand; occasional travel to spoke sites and customer engagements. Compensation Details:
$180k- $225K The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits Overview: Our health and welfare benefits are designed to support you and your priorities. Offerings include: * Health, dental, and vision insurance * Paid time off and holidays * Retirement benefits (including 401(k) matching) * Educational reimbursement * Parental leave * Employee stock purchase plan * Tax-saving options * Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Original Posting:
07/02/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters .