{"id":197195,"url":"https://alion.io/job/credence-senior-google-ai-engineer","title":"Senior Google AI Engineer","company":{"id":3864336,"name":"Credence","domain":"credence.ai","url":"https://alion.io/company/credence-4","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":94,"open_postings":9,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":150000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Blue-Green Deployment","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Looker","optional":false},{"name":"NIST 800-53","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"Embeddings","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true},{"name":"Vertex AI Agent Builder","optional":true},{"name":"Zero Trust","optional":true}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-20T07:52:47Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Overview\nJoin a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.\nWe’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.\nPosition Summary\nWe have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud-accelerating mission outcomes for a high visibility program.\nAs a Senior Google AI Engineer, you will serve as a hands-on technical leader for AI solution delivery. You’ll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments.\nResponsibilities include, but are not limited to the duties listed below:\nArchitect and deliver end-to-end AI/ML solutions on Google Cloud using Vertex AI (Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services-optimized for performance, cost, and maintainability. \nDevelop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize and orchestrate with Cloud Run and GKE; automate CI/CD with Cloud Build and IaC.\nImplement robust MLOps (experiment tracking, evaluation, bias/robustness testing, model versioning, canary/blue-green rollouts, automated retraining, drift detection, and lineage).\nApply secure-by-design patterns-VPC-SC, private service access, CMEK, fine-grained IAM, artifact signing, and secrets management-aligned to NIST 800-53, RMF, and FedRAMP baselines.\nOperationalize LLM/GenAI (RAG, tool-use/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoW-approved AI toolchains where appropriate.\nPartner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teams.\nContribute to program roadmaps (including use cases), documenting architectures, controls, and SOPs for sustained operations.\nRequirements\nUS citizenship with the ability to obtain successful DoW Secret security clearance required. Candidates with active Secret clearance preferred.\nBachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.\nAdvanced degree (Master's Degree or PhD) in AI/ML, Data Science, Computer Science, or a closely related discipline is preferred but not required, especially when balanced with substantial hands-on experience (5+ years) in AI/ML solution development.\n8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP).\nProven experience architecting robust data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker and integrating these platforms with Vertex AI for model training, deployment, and inference.\nMust possess a current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification or be able to obtain it within 90 days of hire. \nMust possess at least one current DoW Cyber Baseline Certification (e.g., Security+ Intermediate, SecurityX/CASP+ Advanced) or be able to obtain it within 90 days of hire.\nProven experience with extracting data from SAP Enterprise Business Applications.\nExpert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, Pub/Sub.\nPractical experience with LLMs/GenAI (e.g., Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrails.\nProven MLOps track record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strong data engineering fundamentals.\nAbility to design for security & compliance in DoW/Federal contexts (NIST 800-53, RMF, FedRAMP; Zero Trust principles).\nHands-on experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks.\nExperience integrating GenAI safely within IL5 environments and familiarity with available government AI platforms.\nSalary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.\nBenefits\nHealth Care Plan (Medical, Dental & Vision)\nRetirement Plan (401k, IRA)\nLife Insurance (Basic, Voluntary & AD&D)\nPaid Time Off (Vacation, Sick & Public Holidays)\nFamily Leave (Maternity, Paternity)\nShort Term & Long Term Disability\nTraining & Development\nWellness Resources","description_format":"text","description_chars":5642,"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":["401k plan","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-09-03T15:11:53Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.676,"p_room":0.55,"age_days":47,"expected_fill_days":41,"reasons":["conf:1","velocity","win:tail"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":false},"html_url":"https://alion.io/job/credence-senior-google-ai-engineer","json_url":"https://alion.io/job/credence-senior-google-ai-engineer.json","meta":{"generated_at":"2026-10-20T12:07:01Z","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":13420,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":3864336},"rest":"https://alion.io/mcp/rest/get_company?id=3864336"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcredence-senior-google-ai-engineer"},{"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%2Fcredence-senior-google-ai-engineer"},{"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%2Fcredence-senior-google-ai-engineer"},{"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/credence-senior-google-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcredence-senior-google-ai-engineer"}]}