{"id":193651,"url":"https://alion.io/job/accenture-forward-deployed-engineer-11","title":"Forward Deployed Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2062,"ghost_share":0.001,"stale_share":0.123,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Auckland, New Zealand","Wellington, New Zealand"],"countries":["NZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":176000,"period":"year","method":null,"sample_n":6116},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ABAP","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cortex","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"SAP BTP","optional":false},{"name":"Semantic Search","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":".NET","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"GraphQL","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Node JS","optional":true},{"name":"React.js","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-03T04:02:17Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-23T23:20:30Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":50},"description":"Accenture is shifting from volume-based, multi-year greenfield delivery toward AI-first, sprint-based reinvention. The gap between what we can build and what we actually ship inside client environments is not a strategy problem - it is a behaviour and capability problem.\nForward Deployed Engineers are the forcing function. They embed directly inside accounts, operate at pace, and build working production-grade solutions that reset client expectations of what delivery looks like and how fast it can move.\nThis is not a support role and it is not an advisory role. FDEs are senior technical practitioners who own outcomes end-to-end, pull AI tools forward into real delivery contexts, and bring hard field intelligence back into Tech RE.\nAs a Forward Deployed Engineer, you will embed directly into Accenture's priority accounts across ANZ MU. You are the technical owner on the ground: scoping problems, building solutions, closing the AI last mile, and demonstrating what AI-native delivery actually looks like.\nYou work at the intersection of engineering, product thinking, and client delivery. The expectation is that you can go from a vague client problem to a working proof of concept in days - and from there to a production-grade deployment in weeks.\nWhat You Will Do\nEmbed and Build\nSit inside client teams as the primary technical owner from discovery through to production deployment\n\nTranslate ambiguous business problems into a concrete technical plan, scoped and sequenced for sprint delivery\n\nBuild working prototypes rapidly - not polished decks - and iterate based on real feedback from real users\n\nDeploy production-grade AI solutions on client infrastructure, integrating into legacy systems, regulated data environments, and existing identity and security frameworks\n\nWork across the full stack: frontend, backend, APIs, data pipelines, and agentic workflows\n\nDevelop applications and workflows that integrate structured and unstructured enterprise data\n\nDrive AI-Native Engineering\nLead with AI tools - coding assistants, agent frameworks, LLM-based workflows - as the default method of delivery, not an add-on\n\nDesign and deploy enterprise AI solutions incorporating LLMs, Agentic AI, RAG, semantic search, workflow orchestration, and intelligent automation\n\nDefine scalable architectures across cloud platforms and enterprise AI ecosystems\n\nEstablish approaches for prompt engineering, model evaluation, governance, security, and responsible AI in production environments\n\nChampion AI-enabled delivery across planning, development, testing, documentation, and operations\n\nDrive continuous improvement through rapid experimentation and user feedback loops\n\nTechnical Leadership\nProvide technical leadership across delivery programmes - architecture reviews, design decisions, technology selection\n\nEstablish engineering standards, reusable assets, accelerators, and best practices that travel across engagements\n\nMentor engineers and raise the delivery capability of client and Accenture teams working alongside you\n\nCodify patterns and delivery accelerators from each engagement for use across the broader Tech RE practice\n\nSurface product gaps, delivery friction, and emerging client needs back to Tech RE leadership as structured field intelligence\n\nWhat We Are Looking For\nNon-Negotiable\nYou have shipped working software to real users in high-stakes environments, not just demos or internal tools - Proven production coding capability\n\nStrong hands-on Python and/or TypeScript; comfort across frontend and backend; cloud infrastructure fluency (AWS, Azure, or GCP)\n\nHands-on experience building with LLMs or AI agent frameworks in a production or near-production context\n\nStrong data engineering fundamentals - pipelines, structured and unstructured datasets, reasoning about data quality in messy real-world environments\n\nExperience designing and deploying enterprise AI applications including agentic workflows, RAG pipelines, vector databases, embeddings, and semantic search\n\nAbility to navigate ambiguity and drive outcomes at pace - you would rather build and learn than specify and wait\n\nStrongly Preferred\nExperience deploying solutions inside enterprise environments with legacy systems, data governance constraints, and change management overhead\n\nExperience in regulated industries - financial services, health, government - and the operational constraints that come with them\n\nPrior consulting, customer success, or forward-deployed role where you owned technical outcomes in a client-facing setting\n\nTrack record as an early engineer or technical founder who has built from zero to production\n\nExperience with cloud-native and enterprise-scale architecture initiatives across multi-cloud environments\n\nHow You Work\nYou own outcomes, not tasks - if something is not working, you diagnose it and fix it\n\nYou move fast and are comfortable with ambiguity - you would rather build and learn than specify and wait\n\nYou communicate clearly with both technical and non-technical audiences without oversimplifying or padding\n\nYou are comfortable being in the room with senior client stakeholders as a technical peer, not a support function\n\nYou are resilient under pressure and keep momentum when projects get messy\n\nTechnical Environment\nFDEs are expected to be tool-agnostic and platform-fluent. The following reflects the environment you will commonly operate in across our client base.\nAI Frameworks and Orchestration\nLLM APIs: Anthropic Claude, OpenAI, Google Gemini, Azure OpenAI\n\nAgent frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, AWS Agentcore, Google ADK, Microsoft Agent Framework\n\nRAG and retrieval: vector databases (Pinecone, pgvector, Weaviate, Qdrant), semantic search, embeddings\n\nWorkflow orchestration and intelligent automation tooling\n\nCloud Platforms\nAWS - Lambda, Step Functions, Bedrock, SageMaker, ECS\n\nAzure - Azure OpenAI Service, Azure AI Foundry, Azure ML\n\nGCP - Vertex AI, Agent Builder, Vertex AI Search\n\nCross-cloud deployment, IaC (Terraform, Pulumi), CI/CD pipelines\n\nEnterprise AI Platforms\nPalantir Foundry and AIP - experience deploying AI applications on Foundry, building ontologies, operating AIP agents\n\nSalesforce AI and Einstein - integration of AI capabilities into Salesforce CRM and FSC environments\n\nServiceNow AI - AI-enabled workflow automation and Now Intelligence\n\nSAP AI Core / Joule - AI integration in SAP BTP and S/4HANA environments\n\nMicrosoft Copilot Studio and Power Platform - enterprise AI automation and copilot development\n\nDatabricks - unified analytics and ML platform, Delta Lake, MLflow\n\nSnowflake - data engineering and Cortex AI capabilities\n\nEngineering Stack\nLanguages: Python (primary), TypeScript/JavaScript, Java or .NET for enterprise integration contexts\n\nBackend: FastAPI, Node.js, microservices, REST and GraphQL APIs\n\nFrontend: React, TypeScript - sufficient to build and ship end-to-end\n\nData: SQL/NoSQL, Snowflake, Databricks, data pipelines, streaming (Kafka, Kinesis)\n\nDevOps: Docker, Kubernetes, CI/CD, observability tooling (OpenTelemetry, Langfuse)\n\nWhat Good Looks Like\nThe benchmark for this role is the model pioneered by Palantir and adopted by OpenAI, Salesforce, and Anthropic: elite engineers embedded in client environments who close the gap between platform capability and real-world impact.\nA strong FDE in their first 90 days will have: embedded in at least one account sprint, shipped a working proof of concept that the client can demo to their own leadership, and identified at least one reusable delivery pattern codified for the broader practice.\nOver time, FDEs become the practitioners who reshape how clients think about what delivery pace is possible - and how Accenture is different.\n#LI_GM #LI-GM\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement for New Zealand:\nAt Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.\nAs part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.\nWe encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email  and cite the relevant Job Number, or contact us on +61 2 9005 5000.\nLearn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.","description_format":"text","description_chars":10312,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["IT Consulting & Digital Transformation","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-03T04:02:17Z"},{"event":"close","at":"2026-09-03T07:32:19Z"},{"event":"reopen","at":"2026-09-03T07:47:19Z"},{"event":"close","at":"2026-09-03T12:20:22Z"},{"event":"reopen","at":"2026-09-03T15:20:26Z"},{"event":"close","at":"2026-09-04T07:02:46Z"},{"event":"reopen","at":"2026-09-04T07:17:49Z"},{"event":"close","at":"2026-09-04T10:17:52Z"},{"event":"reopen","at":"2026-09-04T11:33:19Z"},{"event":"close","at":"2026-09-04T14:33:35Z"},{"event":"reopen","at":"2026-09-04T14:48:38Z"},{"event":"close","at":"2026-09-04T18:03:40Z"},{"event":"restore","at":"2026-09-14T21:48:31Z"}],"visa":[],"liveness":{"score":1,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.054,"p_room":0.28,"age_days":50,"expected_fill_days":5,"reasons":["conf:50","evergreen","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/accenture-forward-deployed-engineer-11","json_url":"https://alion.io/job/accenture-forward-deployed-engineer-11.json","meta":{"generated_at":"2026-10-24T01:14:52Z","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":2038,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":271},"rest":"https://alion.io/mcp/rest/get_company?id=271"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faccenture-forward-deployed-engineer-11"},{"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%2Faccenture-forward-deployed-engineer-11"},{"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%2Faccenture-forward-deployed-engineer-11"},{"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/accenture-forward-deployed-engineer-11\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faccenture-forward-deployed-engineer-11"}]}