{"id":2377939,"url":"https://alion.io/job/equinix-ai-engineer","title":"AI Engineer","company":{"id":7655,"name":"Equinix","domain":"equinix.com","url":"https://alion.io/company/equinix","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":27000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-12T18:55:18Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T18:55:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who are we?\nEquinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, lifeand planet.\nA place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity toshape their future.\nHelp us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you-because when you feel valued, you’re empowered to do your best work.Job Summary\nEquinix is seeking a highly experienced and hands-on engineering professional to drive the development, and delivery of next-generation AI-powered platforms and customer-facing agentic solutions. This role combines software engineering excellence with deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native development practices.\nThe ideal candidate will lead the design and implementation of AI agents, establish engineering best practices, define quality and governance frameworks, and collaborate closely with product, architecture, security, and engineering teams to deliver scalable, secure, and reliable AI solutions that enhance customer experiences and business outcomes.\nResponsibilities\nDesign, build, deploy, and maintain LLM-powered agents and AI-driven applications\n\nIntegrate AI capabilities into existing software platforms to enhance functionality, automation, and user experience\n\nImplement tool integration using Model Context Protocol (MCP) and agent-to-agent (A2A) communication patterns\n\nDesign and implement automated evaluation frameworks, quality gates, benchmarking processes, and release criteria for customer-facing AI agents\n\nEstablish guardrails, human-in-the-loop approval mechanisms, escalation workflows, and Responsible AI governance controls\n\nMonitor and optimize agent quality, accuracy, latency, reliability, adoption, observability, and operational costs\n\nDesign, implement, and maintain Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge engineering solutions\n\nDevelop AI-enabled APIs and backend services using technologies such as Python, FastAPI, containerized services, and REST-based integration patterns\n\nTroubleshoot agent failures and continuously improve agent performance through prompt engineering, context optimization, workflow orchestration, and evaluation feedback loops\n\nDesign, build, and manage automated CI/CD pipelines using GitHub Actions (GHA) and modern DevOps practices\n\nCollaborate with cross-functional teams to gather requirements, define technical solutions, and deliver exceptional customer experiences\n\nTroubleshoot and resolve issues related to client interfaces, APIs, integrations, and end-user interactions\n\nProvide hands-on leadership in software architecture, design, development, automation testing, deployment, and operational support\n\nDrive architecture decisions and establish engineering standards for AI-powered platforms and services\n\nPartner with product managers, architects, security teams, and engineering leaders to define technical strategy and execution plans\n\nEvaluate emerging AI technologies, frameworks, tools, and industry best practices to drive innovation and continuous improvement\n\nProvide technical estimates, identify risks, and contribute to roadmap planning, prioritization, and delivery execution\n\nQualifications\nBachelor’s degree in computer science, Software Engineering, Data Science\n\n6+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing\n\n6+ years of experience in software design, development, and algorithm related solutions\n\n5+ years of programming with Python or Java languages\n\n3+ years of experience in developing, deploying or optimizing ML models\n\n3+ years of hands-on experience building LLM-powered applications, AI assistants, or autonomous agent systems\n\nExperience with prompt engineering, context engineering, tool calling, retrieval systems, and multi-agent workflows\n\nSolid experience designing APIs, microservices, distributed systems, and event-driven architectures\n\nExperience with agent frameworks and orchestration technologies such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar\n\nExperience working with MCP (Model Context Protocol), Agent-to-Agent (A2A) communication, and tool orchestration frameworks\n\nExperience with Anthropic, OpenAI, Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms\n\nKnowledge-engineering experience including vector databases, embeddings, hybrid search, retrieval systems, and enterprise knowledge graphs\n\nExperience implementing AI observability, tracing, evaluation platforms, and cost optimization solutions\n\nExperience implementing automated testing, CI/CD pipelines, observability, and operational monitoring\n\nExperience with cloud platforms such as AWS, Azure, or Google Cloud Platform\n\nExperience in REST-based API development, API lifecycle management and/or client SDKs development\n\nStrong written and verbal communication skills, with the ability to explain complex concepts to non-technical stakeholders\n\nSelf-motivated, with a passion for learning and staying up-to-date with the latest technologies in the field\n\nAbility to work independently and as part of a team, managing multiple tasks and projects simultaneously\n\nMonitor and analyze user feedback to drive continuous improvement in our applications\n\nStrong customer-first mindset with a focus on platform usability and adoption\n\nAbility to thrive in fast-paced, ambiguous environments\n\nEquinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.\nEquinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.\nWe use artificial intelligence in our hiring process. Learn morehere .\n\nThis posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.","description_format":"text","description_chars":6836,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Network Interconnect"],"lifecycle":[{"event":"open","at":"2026-10-12T18:55:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-10-12T23:12:15Z"},"pay":null,"html_url":"https://alion.io/job/equinix-ai-engineer","json_url":"https://alion.io/job/equinix-ai-engineer.json","meta":{"generated_at":"2026-10-12T23:12:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":38064,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7655},"rest":"https://alion.io/mcp/rest/get_company?id=7655"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fequinix-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fequinix-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fequinix-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/equinix-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fequinix-ai-engineer"}]}