{"id":3376318,"url":"https://alion.io/job/telstra-group-engineering-manager-agentic-ai","title":"Engineering Manager - Agentic AI","company":{"id":188,"name":"Telstra Group","domain":"telstra.com.au","url":"https://alion.io/company/telstra","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":100,"open_postings":17,"ghost_share":0,"stale_share":0.118,"repost_share":0.059,"time_to_fill_p50_days":20,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","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":32000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"A2A","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"Claude","optional":true},{"name":"CrewAI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LoRA","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"PEFT","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Redis","optional":true},{"name":"Spring Boot","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T18:23:35Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Employment Type\nPermanentClosing Date\n6 Nov 2026 11:59pmJob Title\nEngineering Manager - Agentic AIJob Summary\nJob Description\nWho We Are\nWe're an iconic Aussie brand with a global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network.\nThis includes making Telstra the place you want to work. For you, that means a having career that grows with you and working with a team powered by human connection that prioritises wellbeing and choice.\nWhat is the focus of the role?\nThe Agentic AI Engineer / Chapter Lead combines hands-on AI engineering depth with chapter leadership. The role designs, builds and operates secure, reliable and cost-effective agentic AI solutions, while developing engineering capability and establishing reusable patterns, standards and reference implementations.\nThe role works across backend, platform, product, architecture, security and SRE teams to move LLM solutions from prototype to governed production use on AWS, with accountability for technical quality, responsible AI and sustainable adoption of AI-assisted engineering practices.\nWhat we offer\nPerformance-related pay\nAccess to thousands of learning programs so you can level-up\nGlobal presence across 22 countries; opportunities to work where we do business.\nUp to 26 weeks maternity leave provided to the birth mother with benefits for all child births\nUp to 16 weeks paid paternity leave provided to the non-birthing partners\nEmployees are entitled to 21 paid annual leaves per calendar year\nEligible employees are entitled to 12 days of paid sick / casual leave per calendar year\nRelocation support options across India, from junior to senior positions within the company\nReceive insurance benefits such as medical, accidental and life insurances\nWhat You’ll Do\nAgentic AI Solution Engineering\n· Design, build and operate single-agent and multi-agent systems using LangGraph, Amazon Bedrock Agents and appropriate direct SDK approaches.\n· Define agent workflows, state, checkpointing, human-in-the-loop controls, tool schemas, contracts, boundaries and safe hand-off patterns.\n· Apply engineering judgement to determine when agent frameworks are required and when simpler deterministic or direct model integration is better.\nRetrieval and Enterprise Knowledge Systems\n· Design and tune RAG and agentic RAG pipelines across approved enterprise knowledge sources, including ingestion, retrieval, indexing, re-ranking and grounding.\n· Implement hybrid retrieval, query planning, self-correction and tool-augmented retrieval patterns to improve relevance and task completion.\n· Evaluate vector stores and knowledge graph or GraphRAG approaches where scale, security, cost or relationship-heavy domains require them.\nMCP, Tools and Agent Communication\n· Build and operate MCP servers and clients, including tools, resources, prompts and supported transports.\n· Expose secure capabilities with clear descriptions, validation, versioning, least-privilege access and defined trust boundaries.\n· Apply agent-to-agent concepts such as discovery, agent cards, task lifecycle, collaboration and capability registration.\nEvaluation, Quality and Economics\n· Create evaluation frameworks using golden datasets, deterministic checks, LLM-as-judge techniques, human review and regression suites.\n· Integrate quality, safety, groundedness, latency, token usage and cost gates into delivery and release processes.\n· Benchmark models and architectures for quality, reliability, throughput, context requirements and total cost.\nSecurity, Governance and Responsible AI\n· Build security, privacy, safety, guardrails and governance into agentic solutions from inception.\n· Mitigate risks including prompt injection, data leakage, excessive agency, unsafe tool use, insecure output handling and supply-chain exposure.\n· Implement PII handling, scoped identity, OAuth where applicable, secret management, least-privilege access, human approval and audit trails for sensitive actions.\n· Apply data residency, retention, privacy, versioning, hallucination and bias risk assessment, change control and responsible AI requirements.\nProduction Engineering and Operations\n· Build AI services using strong Python practices, including asynchronous programming, FastAPI, automated testing and maintainable package design.\n· Deploy and operate services on AWS and Kubernetes with CI/CD, secure runtime configuration and operational controls.\n· Instrument agent systems with tracing, logging, metrics and evaluation telemetry using OpenTelemetry and relevant LLM observability platforms.\n· Implement reliability patterns including timeouts, retries, fallbacks, failover, rate limits, concurrency controls and graceful degradation.\n· Treat prompts, agent definitions, evaluation datasets, policies and configuration as versioned, reviewed and tested engineering artefacts.\nChapter Leadership and Capability Uplift\n· Actively build chapter capability by mentoring engineers in software engineering practices, emerging technologies, tools, approaches and delivery processes, modelling continuous learning and coaching others to lift capability across teams.\n· Coach, develop and provide regular feedback to chapter members, clarifying performance, behavioural and engineering expectations, and supporting meaningful growth conversations.\n· Build strong commercial capability across teams by modelling disciplined cost-value thinking, balancing engineering investment, platform cost, risk and customer outcomes to choose the most economic course of action.\n· Foster a culture of observability across multiple teams, helping engineers use operational telemetry, service health data, incident trends and customer-impact signals to improve stability, performance and domain ownership.\n· Influence effective decision-making in uncertain or high-pressure situations, making responsible trade-offs without always having complete information and helping teams manage risk, change and ambiguity.\n· Build a strong culture of knowledge sharing, documentation and constructive feedback, using communities of practice, playbooks, reference patterns and learning forums to drive continuous improvement and capability uplift.\n· Model Telstra’s values and facilitate inclusive discussions across teams, creating alignment to organisational strategy and principles while identifying actionable continuous improvement opportunities.\n· Manage recruitment of permanent employees and partner resources, shaping a healthy workforce plan, succession pipeline and highly productive team mix aligned to current and future capability needs.\n· Set goals and lead performance appraisal for engineers, ensuring expectations, outcomes, development needs and accountability are clearly understood and fairly assessed.\n· Ensure co-workers are treated respectfully and without discrimination, harassment or victimisation, actively contributing to psychological safety, inclusion and a respectful workplace.\n· Assess AI and modern engineering capability needs, align people to priority work, and support safe adoption of AI-assisted engineering tools, spec-driven development and reusable standards.\n· Balance hands-on technical leadership with people accountability, chapter health, resource planning and delivery commitments.\nAbout You\nRequired Skills and Technical Expertise\nAgentic AI architecture, orchestration, LLM, prompt and context engineering.\nRAG, agentic RAG, enterprise knowledge systems, MCP and agent-to-agent communication.\nAI evaluation, model selection, token economics, quality gates and responsible AI practices.\nAI security, governance, privacy, guardrails, risk controls and safe production deployment.\nStrong production engineering across Python, AWS, Kubernetes, CI/CD, observability, reliability and operations.\nTechnical leadership, stakeholder influence, coaching, workforce capability uplift and reusable engineering standards.\nundefined\nQualifications and Experience\n10+ years professional software engineering experience, including 2+ years building LLM-based applications or equivalent production AI depth.\nExperience taking agentic or generative AI solutions from discovery and prototype to production operation.\nExperience leading technical outcomes across teams and coaching engineers in emerging technologies.\nDegree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or related discipline, or equivalent relevant experience.\nPreferred Skills\nIntegration of AI capabilities with Java, Spring Boot or Node.js services using Spring AI, LangChain4j or comparable libraries.\nFine-tuning or parameter-efficient adaptation, including LoRA.\nExperience with additional agent frameworks such as Strands Agents, CrewAI, OpenAI Agents SDK or Claude Agent SDK.\nBackground in SRE, platform engineering, event-driven architecture, Kafka or Redis Streams.\nContributions to AI tooling, internal engineering communities or relevant cloud and AI certifications.\nExperience with enterprise model gateways, agent registries, AI inventory, governance platforms or internally hosted model ecosystems.\nEnd-to-end solution design from chat UI through orchestration, retrieval, tool execution and LLM response delivery, including clear ownership of user experience, backend services and model interaction patterns.\nUnderstanding of A2UI, A2A and shared UI communication practices, including how agents, user interfaces and backend services coordinate context, actions, state and hand-offs safely across a shared experience.\nWe're amongst the top 2% of companies globally in the CDP Global Climate Change Index 2023, being awarded an 'A' rating. If you want to work for a company that cares about sustainability, we want to hear from you.\nAs part of your application with Telstra, you may receive communications from us on +61 440 135 548 (for job applications in Australia) and +1 (623) 400-7726 (for job applications in the Philippines and India).\nWhen you join our team, you become part of a welcoming and inclusive community where everyone is respected, valued and celebrated. We actively seek individuals from various backgrounds, ethnicities, genders and disabilities because we know that diversity not only strengthens our team but also enriches our work. We have zero tolerance for harassment of any kind, and we prioritise creating a workplace culture where everyone is safe and can thrive.\nAs part of the hiring process, all identified candidates will undergo a background check, and the results will play a role in the final decision regarding your application.\nWe work flexibly at Telstra. Talk to us about what flexibility means to you. When you apply, you can share your pronouns and / or any reasonable adjustments needed to take part equitably during the recruitment process.\nWe are aware of current limitations with our website accessibility and are working towards improving this. Should you experience any issues accessing information or the application form, and require this in an alternate format, please contact our Talent Acquisition team on  or via the additional contact options found at www.telstra.com.au/careers/diversity-equity-and-inclusion/disability-employment","description_format":"text","description_chars":11311,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Continuous learning","Equity","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Mobile Networks","Broadband","Telecom Infrastructure"],"lifecycle":[{"event":"open","at":"2026-10-28T02:50:56Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":20,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/telstra-group-engineering-manager-agentic-ai","json_url":"https://alion.io/job/telstra-group-engineering-manager-agentic-ai.json","meta":{"generated_at":"2026-10-31T19:01:10Z","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":29862,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":188},"rest":"https://alion.io/mcp/rest/get_company?id=188"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftelstra-group-engineering-manager-agentic-ai"},{"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%2Ftelstra-group-engineering-manager-agentic-ai"},{"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%2Ftelstra-group-engineering-manager-agentic-ai"},{"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/telstra-group-engineering-manager-agentic-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftelstra-group-engineering-manager-agentic-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3376318}},{"tool":"search_jobs","arguments":{"company":"telstra.com.au","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3376318},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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