{"id":1360482,"url":"https://alion.io/job/pearson-senior-software-engineer-agentops","title":"Senior Software Engineer – AgentOps","company":{"id":1785237,"name":"Pearson","domain":"pearson.jobs","url":"https://alion.io/company/pearson-jobs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":23,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","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":15000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":123},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"New Relic","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-10T11:56:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-09-29T01:02:31Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Senior Software Engineer - AgentOps\nAbout the Role\nWe are looking for a Senior Software Engineer to design, build, and scale enterprise-grade agentic AI systems within the AgentOps. This role goes beyond traditional GenAI engineering - focusing on agent orchestration, context engineering, and production-grade AI systems that automate and transform business workflows through Agents.\nYou will work at the intersection of LLMs, software engineering, and platform design, owning solutions end-to-end - from ideation to production - while ensuring reliability, safety, and measurable business impact.\nWhy Join AgentOps\nWork on cutting-edge agentic AI systems at enterprise scale\nHelp build a symbiotic workforce of humans and AI agents\nSolve real business problems across enterprise\nBe part of shaping next-gen AI engineering practices\nKey Responsibilities\n1. Agentic System Design & Development\nDesign and build multi-agent systems and orchestrated workflows for enterprise use cases\nDevelop AI-powered solutions using existing SOTA LLMs from hyperscalers and enterprise data sources \nImplement RAG pipelines, knowledge retrieval, and context-aware reasoning systems\n2. AgentOps Lifecycle Ownership\nOwn full lifecycle: intake → design → validation → deployment → monitoring → improvement \nEnsure Observability, evaluation frameworks, and guardrails are in place\n3. Platform & Integration Engineering\nIntegrate AI solutions into Teams, web apps, and enterprise systems \nBuild APIs, backend services, and orchestration layers for scalable deployments\nShould be well versed with one of the public cloud platform (AWS or Azure or GCP)\n4. Observability, Reliability & Governance\nImplement monitoring (latency, accuracy, failure modes) and logging pipelines\nEnsure responsible AI practices, security, and compliance\nOptimize models and workflows for cost, performance, and scalability\n5. Innovation & Business Impact\nPartner with product and business teams to identify high-impact agentic opportunities\nLead PoCs and rapidly scale successful solutions into production\nDrive adoption of agentic workflows across business functions\nRequired Qualifications\nBachelor’s/master’s in computer science\n8-10+ years of software engineering experience, with strong AI/ML exposure\nStrong technical foundation in Python and modern backend engineering patterns, with experience building APIs, services, and application components\nExperience working with orchestration frameworks such as CrewAI, LangGraph, AutoGen, MAF or equivalent\nStrong working knowledge of retrieval-augmented generation (RAG), embeddings, vector search, and grounding patterns\nExperience building and deploying cloud-native AI services\nFamiliarity with observability and operational tooling such as Application Insights, OpenTelemetry, Azure Monitor, or New Relic, or equivalent monitoring platforms\nGood collaboration and communication skills, with the ability to work effectively with engineers, architects, product owners, and platform teams\nStrong ownership mindset across the SDLC, including design, build, testing, deployment, support, and continuous improvement\nExperience building production Agentic systems (not just prototypes)\nExposure to Model Context Protocol (MCP), agent-to-agent (A2A) interaction patterns, or similar approaches to context exchange and distributed agent communication.\nAbout Pearson\nPearson is the world's leading lifelong learning company, helping millions of learners worldwide achieve their educational and professional goals. Headquartered in London, Pearson provides digital learning solutions, educational content, assessments, certifications, English language learning, and workforce-skilling programs. With a strong focus on innovation, technology, and learner success, Pearson empowers individuals and organizations to thrive in an evolving global economy","description_format":"text","description_chars":3848,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T23:45:59Z"}],"liveness":{"score":48,"band":"ok","label":"Likely open","p_open":1,"p_active":0.538,"p_room":0.9,"age_days":17,"expected_fill_days":31,"reasons":["conf:0","stale_co","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pearson-senior-software-engineer-agentops","json_url":"https://alion.io/job/pearson-senior-software-engineer-agentops.json","meta":{"generated_at":"2026-09-29T01:57:25Z","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":1616,"day_limit":5000,"remaining_today":3384,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}