{"id":2503578,"url":"https://alion.io/job/tns-sr-ai-architectengineer","title":"Sr AI Architect/Engineer","company":{"id":1766333,"name":"TNS","domain":"tnsi.com","url":"https://alion.io/company/tnsi","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":14,"ghost_share":0,"stale_share":0.643,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States","Washington, United States","Sheffield, United Kingdom","New York, United States","United States","Brazil"],"countries":["US","GB","BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Function Calling","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Prompt Caching","optional":false},{"name":"RAG","optional":false},{"name":"SharePoint","optional":false},{"name":"Tool Use","optional":false},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T16:11:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives.Come join the excellence!\nOverview\nResearches, designs, plans, develops and/or evaluates new, advanced network technologies by translating customer requirements or strategic business objectives into final product design. Work typically includes in-depth assessment of the customer’s networked application needs, providing network modeling and simulation testing, consulting to further clarify needs, and engineering high-speed technology network transports to deliver application functionality.Responsibilities\nWhy this role exists\nTNS is moving from AI governance and foundations into execution. The platform building blocks are in place or underway - Microsoft 365, Copilot, Entra ID, SharePoint, and Anthropic's Claude models via AWS Bedrock. What we don't yet have is a dedicated person who can both build and operate the secure, production-grade AI platform that lets AI work safely against our data and embed with our lines of business to turn that capability into measurable value.\nThis role does both. You'll be the technical engine and the on-the-ground partner who makes AI a productive, trusted tool across the enterprise - and who multiplies that impact by enabling others to build, not just building yourself.\nWhat you'll do\nYour time will span two connected halves.\nBuild and operate the AI platform\nModel platform and private hosting. Own our Claude deployment on AWS Bedrock end to end - model access and versioning, region and data-residency decisions, provisioned throughput vs. on-demand, and the private, VPC-isolated hosting posture that keeps our data inside our boundary and out of third-party training. Evaluate and manage additional models where they fit, and maintain a routing layer so applications aren't hard-wired to a single model or provider.\nHarness and orchestration management. Build and maintain the application harness that sits between our users and the models: prompt and context management, tool and function calling, agent orchestration, retrieval pipelines, guardrails and content filtering, caching, and fallback behavior. Own the evaluation harness too - regression suites, quality benchmarks, and the release process that lets us upgrade models without breaking what's in production.\nData connectivity. Design and build secure, governed connections between AI systems and TNS data - Microsoft 365 and Graph, SharePoint, databases, data warehouses, APIs, and line-of-business systems. Own the retrieval architecture, indexing and freshness strategy, and the permission-trimming that ensures every user sees only what they're entitled to see, with no leakage across boundaries.\nSecurity and access control. Architect least-privilege access across identity, network, and data layers - IAM and Entra ID, private networking, encryption and key management, secrets handling, and tenant isolation. Defend against AI-specific threats: prompt injection, data exfiltration through model outputs, insecure tool use, and over-permissioned agents. Partner with security and governance so every deployment is auditable and compliant by design, with a full audit trail of prompts, outputs, and data access.\nMonitoring and observability. Instrument the platform for production operations - latency, error rates, throughput and quota headroom, output quality and drift, guardrail trips, and anomalous usage. Build the dashboards and alerting that let us find problems before users do, and the usage telemetry that tells us which solutions are actually delivering value.\nCost management. Own AI spend as a first-class engineering concern: token-level cost attribution by application and line of business, budgets and alerting, model right-sizing (using the cheapest model that meets the quality bar), prompt caching and context optimization, batch processing where latency allows, and provisioned-throughput decisions. Produce the chargeback and unit-economics reporting leadership needs to fund the portfolio with confidence.\nReusable foundations. Turn all of the above into patterns, templates, and guardrails so each new use case is faster, cheaper, and safer to build than the last.\nShip value with the business (forward-deployed engineering)\nEmbed directly with teams across our lines of business (Communications, Waypoint, Payments, Corporate/Shared) to identify high-value AI and automation opportunities.\n\nPrototype quickly, validate with real users, and take the strongest ideas to production.\n\nDrive adoption - measure whether solutions are actually used and delivering value, and iterate until they are.\n\nEnable others: seed and support a network of \"AI champions\" in each line of business, equipping non-specialists to build their own automations on your patterns and under appropriate oversight.\n\nWhat you'll accomplish in your first year\nStand up a secure, monitored, cost-managed AI platform on AWS Bedrock with governed connectivity to TNS data.\n\nShip a portfolio of production use cases with documented, measurable value - reduced cost to serve, shorter cycle times, and volume absorbed without added headcount.\n\nEstablish a use-case intake and prioritization process so demand is triaged by value rather than by who asks loudest.\n\nDeliver AI cost transparency and attribution by application and line of business.\n\nEnable at least one capable AI champion in each line of business.\n\nWhat you bring (required)\nStrong software / solutions engineering background with hands-on experience building and deploying production AI/LLM applications - RAG, agents, tool use, orchestration, and evaluation.\n\nDirect experience with a managed model platform in production; AWS Bedrock strongly preferred, along with the surrounding AWS estate (IAM, VPC, KMS, CloudWatch, PrivateLink).\n\nDemonstrated ability to build and operate data connectivity to enterprise systems with permission-aware retrieval.\n\nWorking command of enterprise security and data governance: identity and access, data protection, encryption and key management, and AI-specific threat models.\n\nProduction operations instincts - you instrument what you build, and you've owned the monitoring and on-call reality of a live system.\n\nCost discipline: you treat inference spend as an engineering constraint and can show where the money goes.\n\nGenuine business fluency and communication skills - you're comfortable sitting with finance, operations, or sales, understanding their problems, and translating them into solutions.\n\nA demonstrated bias toward shipping and adoption, not just building demos.\n\nNice to have\nDepth in the Microsoft / Azure ecosystem alongside AWS (Azure AI, Copilot Studio, Power Platform, Entra ID, SharePoint / Graph) - our environment spans both.\n\nExperience in a regulated or security-sensitive industry - payments, telecom, or financial data.\n\nSelf-hosted or fine-tuned model experience, and a clear view of when it beats a managed API.\n\nInfrastructure-as-code and CI/CD for AI systems (Terraform, pipelines, automated evals in the release path).\n\nChange-management or internal-consulting experience.\n\nPrior forward-deployed or customer-facing engineering experience.\n\nQualifications\nWho you are\nThe rare blend of builder and partner. You carry the technical depth of a staff engineer and the people instincts of an internal consultant. You're energized by variety - a private-networking and key-management problem in the morning, a finance-team workflow in the afternoon. You measure yourself by value delivered and adopted, not lines of code. You teach and multiply rather than hoard knowledge. And you operate with ownership: when a deployment is struggling or a cost-line spikes, you own the fix.\nHow your success is measured\nIn short: reduced cost to serve on named processes, use cases shipped and sustained in production, adoption across lines of business, champions enabled, platform reliability and cost-per-unit-of-value, and a clean security and governance record.\nFor this role, we anticipate paying $150,000 - $250,000 annually. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. TNS offers a competitive benefit package including medical and dental coverage, life insurance, paid holidays and vacations, and a 401K plan with company match.\nIf you are passionate about technology, love personal growth and opportunity, come see what TNS is all about!\nTNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.","description_format":"text","description_chars":8917,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","Managed Network Services"],"lifecycle":[{"event":"open","at":"2026-10-14T06:57:03Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":53,"reasons":["conf:13","stale_co","velocity","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":false},"html_url":"https://alion.io/job/tns-sr-ai-architectengineer","json_url":"https://alion.io/job/tns-sr-ai-architectengineer.json","meta":{"generated_at":"2026-10-15T10:35:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16010,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1766333},"rest":"https://alion.io/mcp/rest/get_company?id=1766333"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftns-sr-ai-architectengineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftns-sr-ai-architectengineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftns-sr-ai-architectengineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tns-sr-ai-architectengineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftns-sr-ai-architectengineer"}]}