{"id":2508998,"url":"https://alion.io/job/supernova-consultant-technical-implementation-lead","title":"Technical Implementation Lead","company":{"id":3800795,"name":"Supernova Consultant","domain":"supernovaconsultant.com","url":"https://alion.io/company/supernova-consultant-pvt-ltd","size_band":null,"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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chandigarh, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-14T04:06:41Z","employer_posted_date":null,"last_verified_at":"2026-10-14T04:06:41Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"About the role : \n\nLead the implementation and deployment of our AI-powered insurance product for enterprise clients. This is a client-facing, technically hands-on role : you will understand each client's business and technical needs, configure the product, manage integrations and rollouts, and work with Product, Engineering, QA and DevOps to deliver successful go-lives.\n\nWhat you will do : \n\n- Lead implementations : Own the full implementation and deployment of our insurance product for enterprise clients, from kickoff to go-live.\n\n- Understand the client : Work directly with client teams to learn their business processes, technical landscape, integration needs and goals.\n\n- Turn needs into solutions : Translate requirements into practical product configurations and technical designs.\n\n- Configure the product : Set up workflows, business rules, AI capabilities and integrations around each client's use cases.\n\n- Handle integrations : Work with client technical teams on APIs, authentication, data flows and deployment requirements.\n\n- Resolve issues : Troubleshoot application, integration, configuration and deployment problems and see them through to closure.\n\n- Partner internally : Work with Engineering and Product to close product gaps and clear implementation roadblocks.\n\n- Carry through to production : Support UAT, production release, go-live and post-launch stabilisation.\n\n- Engage clients : Run technical discussions, solution walkthroughs, demos and knowledge-transfer sessions.\n\n- Own delivery : Be accountable for timelines, technical risks, dependencies and commitments.\n\n- Build the team : Mentor implementation engineers and establish reusable implementation practices.\n\nWhat you will bring : \n\n- Core engineering : hands-on Python, REST APIs, JSON and PostgreSQL.\n\n- Cloud and delivery : Microsoft Azure, cloud deployments, CI/CD, Git, Docker, and Azure DevOps and GitHub Actions.\n\n- Architecture and operations : understanding of application architecture, integrations, logging, monitoring and troubleshooting.\n\n- GenAI knowledge : LLMs, agentic AI, RAG, AI agents and AI-powered document processing.\n\n- AI platforms : exposure to Microsoft Foundry, Azure OpenAI, Microsoft Agent Framework, Anthropic Claude or similar.\n\nExperience : \n\n- 6 - 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