{"id":4186051,"url":"https://alion.io/job/weekday-ai-architect-3","title":"AI Architect","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":117,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"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":["Chennai, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Terraform","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-12T18:17:58Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T18:17:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"'\n: - ( - )\nExperience: 14+ yrs\nLocation: Chennai, Hyderabad\nAs a AI Architect, you will lead the design and implementation of advanced artificial intelligence solutions that drive business value while ensuring compliance with regulatory standards such as HIPAA. You will collaborate with cross-functional teams to translate complex data science challenges into scalable, cloud-native architectures on Google Cloud Platform. You will guide the end-to-end lifecycle of AI projects, from data ingestion and model training to deployment, monitoring and continuous improvement, leveraging GCP services such as Vertex AI, BigQuery, and AI Platform Pipelines. You will act as a technical evangelist, promoting best practices in AI ethics, data privacy and security, and working closely with product, engineering and compliance teams to maintain robust governance frameworks.\nRequirements\nDesign and architect AI/ML solutions on Google Cloud Platform that meet business and regulatory requirements.\nLead the development of data pipelines, feature stores, and model deployment workflows using GCP services such as BigQuery, Dataflow, Cloud Composer, and Vertex AI.\nEnsure data privacy, security, and compliance with HIPAA regulations through proper access controls, encryption, and audit logging.\nCollaborate with data scientists to translate research prototypes into production-grade models, optimizing for performance, scalability, and cost.\nDevelop and maintain infrastructure-as-code using Terraform or Cloud Deployment Manager for reproducible, versioned deployments.\nMonitor model performance, drift, and resource utilization, and implement automated retraining and rollback mechanisms.\nMentor and coach engineering and data science teams on AI architecture patterns, best practices, and emerging technologies.\nConduct threat modeling and risk assessments to identify and mitigate potential security vulnerabilities in AI workflows.\nDevelop documentation, design reviews, and knowledge transfer materials for internal stakeholders and external partners.\nStay abreast of industry trends, new GCP features, and AI research advancements to continuously improve solution design.\n14+ years of professional experience designing and deploying large-scale AI/ML systems in cloud environments.\nDeep expertise in Google Cloud Platform services, including Vertex AI, BigQuery, Dataflow, and Cloud AI Platform.\nProven track record of implementing HIPAA-compliant data solutions, with hands-on experience in encryption, access controls, and audit logging.\nStrong background in data science, machine learning algorithms, model evaluation, and statistical analysis.\nExtensive experience with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code.\nAbility to translate complex business requirements into technical specifications and architecture diagrams.\nExcellent communication skills, capable of presenting technical concepts to both technical and non-technical audiences.\nDemonstrated leadership in guiding cross-functional teams, managing project timelines, and delivering high-impact outcomes.\nFamiliarity with AI ethics, responsible AI principles, and bias mitigation techniques.\nPassion for continuous learning and staying current with emerging AI technologies and cloud innovations.","description_format":"text","description_chars":3320,"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":["Continuous 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