{"id":3315741,"url":"https://alion.io/job/cognizant-mlops-architect","title":"MLOps Architect","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":90,"open_postings":159,"ghost_share":0.013,"stale_share":0.535,"repost_share":0.038,"time_to_fill_p50_days":21,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":155000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"HIPAA","optional":false},{"name":"Jenkins","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Databricks","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"Prometheus","optional":true},{"name":"RAG","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-10-26T21:40:45Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T00:53:32Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Role Overview\nCognizant is seeking an experienced MLOps Architect (Snowflake) to design, build, and operationalize enterprise machine learning platforms utilizing Snowflake's native AI and ML capabilities.\nIn this strategic and hands-on role, you will own the end-to-end machine learning lifecycle across Snowflake, from feature engineering and model development through deployment, monitoring, governance, and optimization. You will collaborate with Data Scientists, Data Engineers, Platform Teams, Security Organizations, and Business Stakeholders to deliver scalable, secure, and production-ready AI solutions.\nThe ideal candidate brings deep expertise in Snowflake ML technologies, MLOps architecture, AI platform engineering, and cloud-native modernization.\nWork Model\nThis position follows a hybrid work model based in Boston, Massachusetts. Team members are expected to work onsite and remotely based on business and client requirements.\nOccasional travel may be required for stakeholder meetings, architecture reviews, planning workshops, and strategic transformation initiatives.\nKey Responsibilities\nArchitecture & Platform Design\nDesign and implement end-to-end MLOps architectures leveraging:Snowpark\nSnowflake ML\nSnowflake Model Registry\nSnowflake Feature Store\nSnowflake Container Runtime\nSnowpark Container Services (SPCS)\n\nDefine scalable reference architectures supporting:Batch Inference\nReal-Time Inference\nNear Real-Time Inference\n\nEstablish best practices for compute optimization, warehouse sizing, GPU resource allocation, and cost management.\nDesign enterprise patterns utilizing:Cortex AI Functions\nCortex Agents\nCortex Search\nCortex Analyst\n\nML Lifecycle Management & Automation\nBuild and optimize CI/CD/CT pipelines supporting model development, validation, deployment, and governance.\nImplement automated ML workflows using:GitHub Actions\nAzure DevOps\nGitLab\nJenkins\nSnowflake CLI\nGit Integration\n\nEstablish standards for:Experiment Tracking\nModel Versioning\nPromotion Workflows\nRelease Governance\n\nDesign and implement orchestration solutions utilizing:Snowflake Tasks\nTask Graphs\nDynamic Tables\nStreams\ndbt\nApache Airflow\n\nStandardize Feature Store architecture including:Feature Views\nEntities\nTraining Datasets\nOnline Features\nPoint-in-Time Data Consistency\n\nModel Deployment & Monitoring\nDeploy machine learning models through warehouse-based inference functions and Snowpark Container Services.\nDevelop monitoring strategies utilizing:Snowflake ML Observability\nData Metric Functions\nModel Performance Monitoring\nDrift Detection\n\nBuild A/B testing frameworks and champion/challenger deployment strategies.\nDefine rollback and recovery processes to minimize operational risk.\nMonitor model accuracy, latency, reliability, and business impact metrics.\nGovernance, Security & Compliance\nDesign governance frameworks leveraging:Role-Based Access Control (RBAC)\nData Masking\nRow-Level Security\nData Tagging\nLineage Management\n\nEnsure compliance with:HIPAA\nPHI/PII Data Handling Requirements\nSOC 2 Controls\nEnterprise Governance Policies\n\nSupport model risk management and auditability requirements.\nPartner with security teams on:Secrets Management\nNetwork Security\nExternal Access Integrations\nSecure AI Operations\n\nLeadership & Technical Enablement\nServe as the technical authority for MLOps architecture and platform engineering.\nMentor Machine Learning Engineers, Data Scientists, and Platform Teams.\nDevelop reusable frameworks, templates, standards, and implementation accelerators.\nEvaluate emerging Snowflake AI and ML capabilities and provide recommendations for adoption.\nDrive architectural excellence and continuous improvement across AI and ML initiatives.\nRequired Qualifications\nBachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline, or equivalent work experience.\n8+ years of experience in:Data Engineering\nMachine Learning Engineering\nData Platforms\nCloud Architecture\n\n3+ years of experience designing and implementing MLOps and ML Platform architectures.\nStrong hands-on Snowflake experience, including:Snowpark Python\nStored Procedures\nUDFs and UDTFs\nTasks\nStreams\nDynamic Tables\n\nProduction experience with:Snowflake ML APIs\nModel Registry\nFeature Store\n\nAdvanced expertise in:Python\nSQL\nMachine Learning Frameworks\nMLOps Best Practices\n\nExperience with:Scikit-Learn\nXGBoost\nLightGBM\nPyTorch\nTensorFlow\n\nExperience implementing:CI/CD Pipelines\nInfrastructure as Code\nContainerization with Docker\n\nKnowledge of:ML Monitoring\nDrift Detection\nModel Governance\nResponsible AI Practices\n\nExperience with at least one major cloud platform:AWS\nAzure\nGCP\n\nPreferred Qualifications\nSnowPro Advanced Certification (Architect or Data Scientist).\nSnowPro Specialty: Snowpark Certification.\nExperience with:Snowpark Container Services (SPCS)\nGPU Workloads\nDistributed Training Frameworks\nRay\nHyperparameter Optimization Platforms\n\nHands-on experience with:Cortex Functions\nCortex Search\nCortex Agents\nRetrieval-Augmented Generation (RAG)\nLLM Fine-Tuning\n\nFamiliarity with:MLflow\ndbt\nApache Airflow\nKafka\nOpenFlow\n\nExperience migrating ML workloads from:Amazon SageMaker\nDatabricks\nAzure ML\nOn-Premises Environments\n\nHealthcare, Insurance, or Financial Services industry experience.\nTechnical Expertise\nCandidates should demonstrate expertise in:\nSnowflake ML\nSnowpark\nSnowflake Model Registry\nFeature Store Architecture\nMLOps\nMachine Learning Operations\nAI Platform Engineering\nCI/CD for ML\nSnowpark Container Services (SPCS)\nCortex AI\nGenerative AI\nRetrieval-Augmented Generation (RAG)\nPython\nAdvanced SQL\nDocker\nInfrastructure as Code\nML Monitoring\nModel Governance\nCloud Architecture\nAWS\nAzure\nGCP\nSalary and Other Compensation\nThe annual salary for this position is anticipated to be between $155,000 and $170,000 USD, depending on experience, qualifications, geographic location, and other factors permitted by law.\nIn addition to base salary, this position may be eligible for:\nAnnual Performance-Based Bonus\nMerit-Based Compensation Increases\nEmployee Referral Bonuses, where applicable\nCompensation information is accurate as of the date of this posting and may be modified based on business needs and applicable laws.\nBenefits\nCognizant offers a comprehensive benefits package, including:\nMedical, Dental, and Vision Insurance\nHealth Savings Account (HSA) and Flexible Spending Accounts (FSA)\nLife Insurance and AD&D Coverage\nShort-Term and Long-Term Disability Insurance\nPaid Time Off (PTO) and Company Holidays\n401(k) Plan with Company Contributions (subject to eligibility)\nEmployee Stock Purchase Plan (where available)\nEmployee Assistance Program (EAP)\nParental Leave and Family Support Benefits\nTuition Reimbursement and Professional Development Programs\nAccess to Learning, Certification, and Career Development Opportunities\nBenefits are subject to eligibility requirements and plan terms.\nWhy Cognizant\nLead enterprise-scale AI and MLOps transformation initiatives.\nDesign and build next-generation machine learning platforms on Snowflake.\nWork with cutting-edge AI, GenAI, and cloud-native technologies.\nCollaborate with world-class data scientists, engineers, and architects.\nInfluence the future direction of enterprise AI platforms and governance strategies.\nAccess ongoing learning, certifications, and leadership development opportunities.\nEqual Opportunity Employer\nCognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.\nApplications will be accepted until the position is filled.","description_format":"text","description_chars":7920,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Life insurance","Parental leave","Professional development","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Engineering Services","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-27T05:19:26Z"}],"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":21,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":false},"html_url":"https://alion.io/job/cognizant-mlops-architect","json_url":"https://alion.io/job/cognizant-mlops-architect.json","meta":{"generated_at":"2026-10-30T04:36:59Z","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":6339,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":85},"rest":"https://alion.io/mcp/rest/get_company?id=85"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcognizant-mlops-architect"},{"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%2Fcognizant-mlops-architect"},{"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%2Fcognizant-mlops-architect"},{"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/cognizant-mlops-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcognizant-mlops-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3315741}},{"tool":"search_jobs","arguments":{"company":"cognizant.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3315741},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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