{"id":69244,"url":"https://alion.io/job/pryon-solutions-architect","title":"Solutions Architect","company":{"id":39931,"name":"Pryon","domain":"pryon.com","url":"https://alion.io/company/pryon","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States","Boston, United States","Chicago, United States","New York, United States","San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-02-24T17:57:31Z","employer_posted_date":"2026-02-24","last_verified_at":"2026-10-17T10:00:46Z","board_verified":true,"closed_at":null,"days_open":234,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":234},"description":"As a Solutions Architect at Pryon, you will be at the forefront of translating federal customer needs into robust technical solutions. From leading discovery sessions with government agencies and designing secure, compliant architectures to building POCs that showcase the power of our platform, you will help federal customers unlock the full potential of AI-driven knowledge management in mission-critical environments.\nIn This Role You Will:\nLead technical discovery sessions with federal customers and government stakeholders to scope requirements, define success criteria, and translate mission needs into actionable solution architectures.\nDesign scalable, secure, and high-performance architectures that align with federal compliance standards, security requirements, and customer-specific needs.\nBuild and deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate technical approaches and demonstrate solution value in government environments.\nOwn end-to-end technical documentation, including architecture diagrams, technical specifications, integration guides, and deployment runbooks tailored for federal deployments.\nDrive technical alignment across sales, engineering, and product teams throughout the solution lifecycle.\nGuide solution implementation from initial design through deployment, ensuring smooth handoff to customer success and support teams.\nEvaluate and integrate third-party tools, APIs, and platforms into customer solutions to meet functional, non-functional, and security requirements.\nContribute to internal knowledge bases, reference architectures, and reusable solution patterns for federal engagements.\nWhat You'll Need to Be Successful\nActive Top Secret security clearance (required)\nDemonstrated experience in solution architecture, pre-sales engineering, or technical consulting with a track record of designing and delivering enterprise-grade systems for federal or defense customers.\nThorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure Government) and cloud-native design patterns in government environments.\nStrong proficiency in Python with experience building production-quality applications and automation.\nExpert-level understanding of system integration patterns, including RESTful and GraphQL APIs, webhooks, and event-driven architectures.\nSolid understanding of SQL and database operations (e.g., query optimization, schema design, transactions).\nAbility to lead technical discussions and present complex architectures to both technical and non-technical audiences, including government stakeholders.\nBaseline understanding of AI/ML concepts (e.g., ML workflows, data pipelines, NLP, or RAG) and data science engineering practices.\nExperience with orchestration frameworks, LLMs, or knowledge retrieval systems.\nFamiliarity with MLOps practices, such as model versioning, deployment pipelines, experiment tracking, and model monitoring.\nExperience with FedRAMP, FISMA, or other federal compliance frameworks.\nExposure to additional programming languages or technology stacks is a plus\nStrong problem-solving skills with the ability to analyze ambiguous requirements and propose effective solutions.\nExperience with Agile methodologies and DevOps/CI-CD practices.\nStrong written and verbal communication skills, with an emphasis on technical documentation.\nBachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).","description_format":"text","description_chars":3474,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Vector Search & RAG"],"lifecycle":[{"event":"open","at":"2026-02-24T17:57:31Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 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