{"id":4006466,"url":"https://alion.io/job/altimetrik-staff-engineer-ai","title":"Staff Engineer - AI","company":{"id":1985,"name":"Altimetrik","domain":"altimetrik.com","url":"https://alion.io/company/altimetrik","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"D","score":44,"open_postings":79,"ghost_share":0.937,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Claude","optional":false},{"name":"DynamoDB","optional":false},{"name":"Grafana","optional":false},{"name":"PCI DSS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Redpanda","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T18:06:13Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Experience: 8-10 years each\nLocation: Bengaluru, India | Employment Type: Full-time\nAbout the Role\nAs a Staff Engineer in Data and AI at Client, you will set the technical standard for data pipeline and AI platform engineering - driving architecture decisions, mentoring engineers, and delivering complex platform capabilities during a period of active platform transition.\nClientData Environment\nSQL Server CDC → Confluent/RedPanda→ Redshift (Bronze/Silver/Gold) via DBT. EC2, DynamoDB, AWS Bedrock. Snowflake retiring. ~90% internal data.\nKey Responsibilities\nDesign and deliver complex data pipelines across Redshift, MSK/RedPanda, DBT, and S3\nDefine engineering standards and best practices for the Data and AI platform team\n\nLead technical design for AI/ML infrastructure - including AWS Bedrock integrations and Claude-based workflows\n\nDrive ingestion standardisationand canonicalID resolution as a platform-wide initiative\n\nCollaborate with ML Engineers on data infrastructure for model training and inference pipelines\nImplement data quality controls and observability across pipelines (Coralogix, Grafana)\nContribute to PCI DSS-compliant data handling: PAN masking, PII controls, TonicAIintegration\nMentor Lead and Senior Engineers within the team\nRequired Skills & Experience\n8-10 years in data engineering or AI platform engineering\nExpert-level experience with AWS data services: EKS, ECS, Lambda, S3, EC2\nStrong hands-on experience with Redshift and 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