{"id":1338120,"url":"https://alion.io/job/the-hartford-ind-lead-engineer-data","title":"IND Lead Engineer, Data","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","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":79,"open_postings":28,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Incident Management","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MongoDB","optional":false},{"name":"Neo4j","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Self-Healing","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-15T04:16:32Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":37},"description":"IND - Lead Engineer, Data - GCC063We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.\nKey Responsibilities\nData and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack \nReal-Time Data Streaming: Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar. \nData and AI Engineering lead responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. \nDevelop Data and AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. \nDevelop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. \nImplement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. \nCollaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. \nStay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. This includes designing prototypes (POCs) and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy. \nModel domain entities, relationships, and business logic in knowledge graphs (e.g., Neo4j, Amazon Neptune, RDF). Integrate data from multiple sources, ensuring canonical representation and semantic consistency. \nSynthetic data generation: Develop and validate synthetic data to simulate rare events and edge cases, supporting robust agent evaluation. Integrate synthetic data workflows with automated testing frameworks to ensure consistent, scalable agent performance assessment. \nIdentify and Champion AI driven Data Engineering productivity improvements capabilities accelerating end-to-end data delivery lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices (AI augmented self-healing data pipelines) for data and automated data quality frameworks. \nSemantic layer and Real time analytics: Design and implement scalable semantic layer with dynamic query translation to deliver real time insights for conversational analytics. \nIntegrate the semantic layers with AI/LLM platforms to provide low-latency, secure, and context-rich data access, optimized for high concurrency and aligned with enterprise governance standards. \nEnsure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. \nImplement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. \nCollaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. \nMentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. \nDevelop graph database solutions for complex data relationships supporting AI systems, this also includes developing and optimizing queries (eg Cyhper, SPARQL) to enable complex reasoning, relationship discovery, and contextual enrichment for AI agents. \nApply GenAI solutions to insurance-specific data use cases and challenges. \nPartner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. \nRequired Skills & Experience:\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. \nData engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric. \nMastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities. \nExpertise with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). \nData engineering experience focused on supporting Generative AI technologies. \nHands on experience with Snowflake \nExperience with building Data and AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. \nStrong hands-on experience implementing production ready enterprise grade GenAI data solutions. \nExperience with prompt engineering techniques for large language models. \nExperience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. \nIntermediate mastery in processing and leveraging unstructured data for GenAI applications. \nIntermediate mastery in implementing scalable AI driven data systems supporting agentic solutions (AWS Lambda, S3, EC2, Langchain, Langgraph, MCP, A2A). \nStrong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. \nExperience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). \nMastery in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. \nStrong written and verbal communication skills and ability to explain technical concepts to various stakeholders. \nExpert level collaboration skills across teams, decision making, conflict resolution and relationship building skills. \nExpertise in mentoring and developing Junior AI or Data Engineers. \nFamiliarity Knowledge of evolving industry design patterns for AI. \nStrong planning, organization, and execution skills. \nAbility to provide thought leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. \nAbility to understand and align deliverables to the departmental and organization strategies and objectives. \nAbility to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. \nLeader and team player with a transformation mindset. \nAbility to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. \nNice to Have\nExperience in multi cloud hybrid AI solutions. \nCertifications in AI, or GCP or Snowflake \nExperience in P&C or Employee Benefits Insurance industry \nAbout Us | Our Culture | What It’s Like to Work Here","description_format":"text","description_chars":7492,"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":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Property & Casualty Insurance","Pet Food, Supplies & Care"],"lifecycle":[{"event":"open","at":"2026-09-27T14:59:10Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.517,"p_room":0.55,"age_days":36,"expected_fill_days":27,"reasons":["conf:18","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/the-hartford-ind-lead-engineer-data","json_url":"https://alion.io/job/the-hartford-ind-lead-engineer-data.json","meta":{"generated_at":"2026-10-15T04:47:12Z","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":7037,"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":1760358},"rest":"https://alion.io/mcp/rest/get_company?id=1760358"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-hartford-ind-lead-engineer-data"},{"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%2Fthe-hartford-ind-lead-engineer-data"},{"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%2Fthe-hartford-ind-lead-engineer-data"},{"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/the-hartford-ind-lead-engineer-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-hartford-ind-lead-engineer-data"}]}