{"id":1234908,"url":"https://alion.io/job/ampera-technologies-forward-deployed-engineer-with-databricks-claude","title":"Forward Deployed Engineer with Databricks & Claude","company":{"id":3798322,"name":"Ampera Technologies","domain":"amperatech.ai","url":"https://alion.io/company/ampera-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India","Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2500000,"max":3000000,"currency":"INR","period":"year","gross":true,"usd_annual":31446},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Claude Code","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-14T03:14:58Z","employer_posted_date":null,"last_verified_at":"2026-09-14T03:14:58Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"Role Summary:\nWe are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and Generative AI/Claude to work closely with clients, business stakeholders, and internal engineering teams. The ideal candidate will combine strong Data Engineering, Software Engineering, Databricks, and Generative AI skills with the ability to understand business problems and rapidly build, deploy, and optimize production-ready solutions. This is a client-facing, hands-on engineering role where you will work from problem discovery and solution design through POC development, production deployment, and ongoing optimization.\nKey Responsibilities:\n\nForward Deployed Engineering\nWork directly with clients and stakeholders to understand business and technical requirements.\nTranslate business problems into scalable data, AI, and software solutions.\nDesign and develop POCs and rapidly validate technical solutions.\nConvert successful POCs into reliable, production-ready applications.\nWork closely with client engineering and data teams during implementation and deployment.\nTroubleshoot production issues and continuously optimize deployed solutions.\nAct as a technical bridge between clients, delivery teams, data engineers, AI engineers, and architects.\nDatabricks & Data Engineering\nDesign and develop scalable data solutions using Databricks, PySpark, Python, and SQL.\nBuild and optimize data ingestion, transformation, and ETL/ELT pipelines.\nWork with Databricks Lakehouse, Delta Lake, and Unity Catalog.\nDevelop Databricks Workflows and production data pipelines.\nImplement data processing solutions for structured and semi-structured datasets.\nOptimize Databricks workloads for performance, scalability, reliability, and cost.\nIntegrate Databricks with databases, APIs, cloud platforms, and enterprise applications.\nGenerative AI & Claude\nBuild enterprise AI solutions using Claude and other Large Language Models (LLMs).\nIntegrate Claude APIs into applications and business workflows.\nDevelop RAG (Retrieval-Augmented Generation) solutions using enterprise data.\nWork with embeddings, vector search, semantic search, and knowledge retrieval.\nDevelop AI-powered applications for summarization, classification, information extraction, question answering, and document processing.\nImplement prompt engineering, structured outputs, tool/function calling, and context management.\nDevelop and integrate AI agents and multi-step AI workflows where applicable.\nEvaluate LLM responses for accuracy, relevance, groundedness, latency, and cost.\nImplement appropriate AI guardrails, security, and data privacy controls.\nProduction & Deployment\nDeploy AI and data solutions into production environments.\nWork with APIs, microservices, Git, CI/CD, containers, and cloud platforms.\nMonitor application and pipeline performance and troubleshoot issues.\nCollaborate with Data Scientists and ML Engineers to productionize AI/ML models.\nEnsure solutions meet security, scalability, reliability, and maintainability requirements.\nRequired Skills & Experience\n4+ years of experience in Data Engineering, Software Engineering, AI/ML Engineering, or a related field.\nStrong hands-on experience with Databricks.\nStrong proficiency in Python, PySpark, and SQL.\nExperience with Delta Lake and Lakehouse Architecture.\nExperience working with Generative AI / LLMs.\nHands-on experience with Claude / Anthropic APIs is preferred.\nExperience with RAG, embeddings, vector databases, and semantic search.\nStrong understanding of REST APIs and enterprise integrations.\nExperience developing production-grade applications and data pipelines.\nStrong problem-solving and troubleshooting capabilities.\nExcellent communication and client-facing skills.\nPreferred Skills\nExperience with Claude Code / Anthropic ecosystem.\nExperience with OpenAI, Azure OpenAI, AWS Bedrock, or other LLM platforms.\nExperience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.\nExperience with Databricks Unity Catalog, Workflows, and MLflow.\nExperience with AWS, Azure, or GCP.\nExperience with Docker, Kubernetes, and CI/CD.\nExposure to AI agents and agentic workflows.\nKnowledge of AI evaluation, guardrails, security, and responsible AI.\nExperience working in consulting, client delivery, or customer-facing engineering environments.\nKey Competencies\nStrong customer-facing and stakeholder management skills.\nAbility to understand ambiguous business problems and translate them into technical solutions.\nStrong ownership and execution mindset.\nAbility to rapidly prototype, iterate, and productionize solutions.\nStrong analytical and troubleshooting skills.\nComfortable working in fast-paced and dynamic client environments.\nExcellent written and verbal communication.\nAbility to work independently as well as collaboratively with distributed teams.\nSkills\nPython, SQL, databricks","description_format":"text","description_chars":4860,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T16:00:00Z"}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.829,"p_room":0.75,"age_days":13,"expected_fill_days":18,"reasons":["seen:13","velocity","win:late"],"computed_at":"2026-09-27T05:45:00Z"},"pay":{"stated_usd_annual":31446,"is_top_pay":false},"html_url":"https://alion.io/job/ampera-technologies-forward-deployed-engineer-with-databricks-claude","json_url":"https://alion.io/job/ampera-technologies-forward-deployed-engineer-with-databricks-claude.json","meta":{"generated_at":"2026-09-28T01:05:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":649,"day_limit":5000,"remaining_today":4351,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}