{"id":4327633,"url":"https://alion.io/job/ericsson-lead-product-ai-engineer","title":"Lead Product AI Engineer","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":139,"ghost_share":0.029,"stale_share":0.475,"repost_share":0.144,"time_to_fill_p50_days":35,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India","Kolkata, India","Bengaluru, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T06:14:34Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T02:10:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Join our Team\nWe are seeking a hands-on Data & AI Solution Architect to design and deliver enterprise People Data, analytics, and AI solutions.\nThis role requires a Forward Deployed Engineering mindset: working directly with business and technology teams to understand problems, rapidly validate ideas, and convert them into secure, scalable, production-ready solutions. The candidate should be comfortable moving between architecture, coding, delivery, and senior stakeholder discussions.\nKey Responsibilities\nTranslate business problems and workflows into technical requirements, solution architectures, prototypes, and delivery plans.\nOwn solutions end to end-from discovery and architecture through development, deployment, and production support.\nDesign cloud-native data platforms, pipelines, data models, APIs, applications, and AI integrations.\nBuild proofs of concept quickly and evolve successful prototypes into reusable production capabilities.\nArchitect AI and GenAI solutions, including RAG applications, intelligent assistants, and agentic workflows.\nModernize legacy data workloads and support migration to Snowflake and other cloud platforms.\nEstablish data quality, lineage, security, RBAC, privacy, monitoring, and responsible AI controls.\nLead technical discussions with engineers, business teams, security, enterprise architecture, and senior stakeholders.\nClearly communicate solution options, architecture decisions, risks, trade-offs, and implementation roadmaps.\nCore Technical Capabilities\nSnowflake and Data Engineering\nStrong hands-on experience with Snowflake architecture, data modelling, ingestion, transformation, and workload management.\nAbility to design databases, schemas, tables, views, and scalable ETL/ELT pipelines.\nExperience with Snowflake capabilities such as Streams, Tasks, Snow pipe, Time Travel, RBAC, and data masking.\nStrong SQL skills, including query optimization, reconciliation, performance tuning, and cost management.\nExperience with Py Spark and cloud data services across AWS, Azure, or GCP.\nPython and Full-Stack Engineering\nStrong Python skills with the ability to build production-quality applications, not only scripts or notebooks.\nExperience developing backend services, APIs, data pipelines, integration components, and user-facing applications.\nAbility to integrate Python solutions with Snowflake, cloud services, enterprise APIs, LLMs, and vector databases.\nGood understanding of modular design, testing, logging, exception handling, secure coding, CI/CD, and observability.\nComfortable reviewing code, troubleshooting production issues, and guiding engineering teams.\nAI and GenAI\nExperience building LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks.\nKnowledge of prompt engineering, AI evaluation, model observability, hallucination mitigation, and responsible AI.\nExperience integrating AI solutions securely with enterprise data and business applications.\nRequired Competencies\n10+ years in software engineering, data engineering, data architecture, or solution architecture.\nStrong hands-on problem-solving and coding capabilities.\nAbility to work through ambiguity and move quickly from problem discovery to production delivery.\nStrong communication skills across technical, business, and senior leadership audiences.\nAbility to explain complex technical concepts and influence architecture and investment decisions.\nExperience working in large enterprise environments with security, privacy, and governance requirements.\n“All academic credentials must be from recognized and accredited institutions and are further subject to verification.”\nWhy join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.\nWhat happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. 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