{"id":1293570,"url":"https://alion.io/job/edmo-senior-ai-lead","title":"Senior AI Lead","company":{"id":66142,"name":"EDMO","domain":"goedmo.com","url":"https://alion.io/company/edmo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OCR","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PoC Library","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"CI/CD","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-08-05T11:27:46Z","employer_posted_date":null,"last_verified_at":"2026-08-05T11:27:46Z","board_verified":false,"closed_at":null,"days_open":57,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":57},"description":"Role Overview : \n\nEDMO is hiring a Senior AI Lead to own and scale our AI stack across document intelligence, conversational intelligence, and data intelligence. You will turn prototypes into robust, production-grade capabilities that integrate deeply with customer systems and meet strict standards for scale, reliability, and security. You will work closely with product and engineering leadership, lead a small high-performing AI team, and directly influence how universities and institutions experience EDMOs platform.\n\nKey Responsibilities : \n\n1. AI Strategy & Architecture : \n\n- Define and own the end-to-end AI architecture across document, conversational, and data intelligence.\n\n- Design multi-tenant, cloud-native AI services optimized for performance, cost, and reliability.\n\n- Establish standards for prompt engineering, tool/agent orchestration, RAG, fine-tuning, evaluation, and monitoring.\n\n- Translate product requirements into clear technical designs, milestones, and delivery plans.\n\n2. Document Intelligence : \n\n- Lead design and implementation of document understanding pipelines for transcripts, forms, financial docs, policies, and knowledge bases.\n\n- Build capabilities for OCR, layout analysis, entity extraction, classification, validation, and summarization.\n\n- Implement retrieval-augmented generation over large document corpora, including indexing, chunking, and relevance tuning.\n\n- Define quality metrics and automated evaluation suites to continuously improve accuracy, robustness, and latency.\n\n3. Conversational Intelligence : \n\n- Own the architecture of production-grade chat and voice assistants across web, mobile, and telephony channels.\n\n- Design agentic workflows combining LLMs, tools/APIs, memory, and business rules to support complex student and staff journeys.\n\n- Implement guardrails, policies, and UX patterns to minimize hallucinations and ensure safe, compliant responses.\n\n- Set up a rigorous evaluation framework for conversation quality, containment, user satisfaction, and escalation performance.\n\n4. Customer System Integrations : \n\n- Architect and oversee integrations with customer CRMs, SIS, telephony, and data platforms (e.g., Salesforce, contact centers, data warehouses).\n\n- Define API and event-driven integration patterns for both real-time and batch scenarios.\n\n- Ensure AI features respect tenant boundaries, roles/permissions, and customer-specific configurations.\n\n- Partner with solutions/implementation teams to make deployment repeatable, configurable, and maintainable across institutions.\n\n5. Data Intelligence & Analytics : \n\n- Collaborate with data engineering to design data models and pipelines that power AI features and insights.\n\n- Lead development of models and heuristics for scoring, routing, prioritization, and personalization based on behavioral and conversational signals.\n\n- Define and maintain dashboards and KPIs for AI performance, adoption, and business impact.\n\n- Drive an experimentation culture with A/B tests, staged rollouts, and data-driven iteration.\n\n6. Production, Scale & Security : \n\n- Ensure all AI services meet enterprise standards for uptime, resiliency, and observability.\n\n- Define and enforce best practices for logging, tracing, alerting, and model/service health monitoring.\n\n- Work with security and compliance teams to align with data privacy regulations, including encryption, access control, and data retention policies relevant to education.\n\n- Implement robust processes for model and configuration versioning, canary deployments, and safe rollbacks.\n\n7. Leadership & Collaboration : \n\n- Lead and mentor AI/ML engineers, data scientists, and AI application engineers.\n\n- Collaborate closely with product, platform engineering, implementation, and customer success to ensure AI capabilities deliver real outcomes.\n\n- Participate in key customer meetings to understand requirements, shape solutions, and represent EDMOs AI strategy.\n\n- Contribute to hiring, career development, and setting the technical bar for AI roles at EDMO.\n\nRequired Experience : \n\n- 6 to 10 years of experience in software engineering and/or applied ML, with at least 4 to 5 years focused on building AI products.\n\n- Proven track record of taking AI solutions (LLM or traditional ML) from PoC to production in a SaaS or enterprise environment.\n\nTech Stack : \n\n- Large language models and orchestration (prompting, tools, agents, RAG).\n\n- Document understanding (OCR, layout, extraction, classification, semantic search).\n\n- Conversational AI (chatbots, voicebots, agent assist).\n\n- Strong programming skills in one or more of : Python, Node.js, Java/Scala.\n\n- Cloud-native services (containers, CI/CD, infrastructure as code).\n\n- Enterprise system integrations (CRMs, telephony, data platforms).\n\n- Security and compliance in regulated industries.\n\nSkills\nArtificial Intelligence, Data Intelligence, Conversational AI, AI Architecture, LLM, RAG, Prompt Engineering","description_format":"text","description_chars":4953,"description_truncated":false,"requirements":{"experience_years_min":6,"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":["EdTech Platforms","Higher Education","Document AI","Education AI"],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.483,"p_room":0.45,"age_days":56,"expected_fill_days":31,"reasons":["seen:56","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/edmo-senior-ai-lead","json_url":"https://alion.io/job/edmo-senior-ai-lead.json","meta":{"generated_at":"2026-10-01T20:34:55Z","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":2979,"day_limit":5000,"remaining_today":2021,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}