{"id":161265,"url":"https://alion.io/job/calix-staff-enterprise-ai-engineer-agentic-workflows-productivity","title":"Staff Enterprise AI Engineer - Agentic Workflows & Productivity","company":{"id":5714,"name":"Calix","domain":"calix.com","url":"https://alion.io/company/calix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":356},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false},{"name":"A2A","optional":true},{"name":"AI Agents","optional":true},{"name":"Confluence","optional":true},{"name":"Figma","optional":true},{"name":"Function Calling","optional":true},{"name":"Gemini","optional":true},{"name":"GitHub","optional":true},{"name":"Jira","optional":true},{"name":"LiteLLM","optional":true}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-11T17:00:44Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":75},"description":"The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One - our cloud-first, AI-powered platform - CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.\nAbout the Role:\nWe are standing up an enterprise AI capability across our product organization, and we are looking for aseasoned technical leadto drive it end to end. This is a hands-on role: you will set the technical direction, architecture, and standards, mentor engineers, and steer external delivery partners-while still writing code, building reference implementations, and personally unblocking the hardest problems.\nWhat You'll Do:\nEnterprise Platform Rollout & Enablement\nOwn the architecture and rollout of the enterprise AI platform across the product organization.\n\nBuild and operate cost-effective infrastructure: model garden setup, budget controls and cost monitoring, model tiering, and fallback open-source models.\n\nStand up and harden platform foundations-identity federation/SSO, IAM, tenant isolation, security and compliance guardrails, and observability.\n\nEnable users to adopt off-the-shelf capabilities (e.g., NotebookLM, enterprise search, code assistants) and provide the training and ongoing support that drives real adoption.\n\nDesign and deliver a self-service “agent factory”-patterns, templates, and in-IDE guardrails-so teams can build and maintain their own agents safely.\n\nProduct Development Lifecycle Agents\nLead the design and build ofagent workflowsacross the PDLC:\n\nIdeation: requirement ideation and generation, design specification generation.\n\nDevelopment: coding assistants, source-code management.\n\nDeployment: CI/CD, deployment, and monitoring.\n\nPartner directly with product, engineering, and other business teams to understand their requirements and help build out their use-cases-not just shipinfrastructure butdrive measurable productivity gains.\n\nEstablish evaluation, quality, and monitoring practices for agent workflows from sandbox to production.\n\nCross-Platform Interoperability\nBuild agents that interoperate with agents on other enterprise AI platforms, including cross-platform contracts, schema/intent mapping, and cross-perimeter authentication.\n\nRepresent the product organization technically when working with other business teams on cross-platform agent designs.\n\nAcross All Tracks-Leadership & Hands-on\nOwn the technical strategy, standards, patterns, and guardrails foragentic workflowdevelopment, RAG, security, and governance.\n\nLead and mentor a team across cloud and enterprise AI tracks; raise the bar through code review, pairing, and design reviews.\n\nSteer external delivery partners-scope work, review deliverables, and hold them to quality and timeline.\n\nStay hands-on: build reference agents, RAG pipelines, integrations, and MCP connectors, and debug the hardest pieces (including non-deterministic retrieval/generation behavior).\n\nRequired Qualifications:\n10+ years of software engineering experience, with 4+ years in a technical lead or staff-level role.\n\nStrong, current hands-on coding ability-you still build and ship. Proficiency in Python (and comfort across at least one other modern language).\n\nExperience designing and operating production AI/ML or LLM-based systems: agents, RAG, prompt/eval pipelines, or similar.\n\nDeep familiarity with Google Vertex AI / Geminiand the surrounding services (IAM, networking, observability, cost management).\n\nExperience building developer-facing platforms or internal tooling, and driving adoption with training and support.\n\nExperience integrating systems via APIs and connectors; comfort with authentication and identity federation (OAuth, SSO, workload identity).\n\nA track record of leading technical initiatives across teams and influencing without authority.\n\nStrong communication skills-able to work directly with both engineers and non-technical business stakeholders.\n\nPreferred Qualifications:\nHands-on with Gemini Enterprise, Vertex AI, NotebookLM, or comparable enterprise AI tooling.\n\nExperience building agentic systems and orchestration (agent development kits, A2A protocols, MCP, tool/function calling).\n\nExperience with LLM gateways and routing (e.g., LiteLLM), model cost optimization, and multi-model fallback strategies.\n\nExperience managing or working alongside systems integrators / delivery partners.\n\nFamiliarity with the modern PDLC toolchain (Jira/Confluence, Figma, GitHub, CI/CD) and AI coding assistants.\n\nExperience with AI governance, guardrails, data privacy, and compliance in an enterprise setting.\n\nLocation:\nIndia - (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter). 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