Forward Deployed Engineer

Project Role : Forward Deployed Engineer Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms. Must have skills : Agentic Orchestration Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: A Principal Engineer Tools & Platforms provides expert technical leadership across the infrastructure tooling ecosystem spanning observability, automation, infrastructure-as-code, ITSM platforms, internal developer portals, and AI-augmented operations. The role is accountable for building, governing, and continuously improving the engineering platforms that enable Cloud, Network, Security, Database, and Voice towers to operate at scale with reliability. A key differentiator of this role is the ability to embed AI-augmented capabilities LLM-driven runbook automation, agentic ITSM workflows, and intelligent alert correlation directly into infrastructure platforms, accelerating toil reduction and operational intelligence across the organization. Observability ELK/Splunk OpenTelemetry Jaeger/Zipkin Automation & IaC Terraform/Pulumi Ansible/Chef GitHub Actions/ArgoCD HashiCorp Vault ITSM & DevOps ServiceNow Jira/Confluence Xmaters AI-Augmented Ops LLM runbook automation Agentic ITSM workflows AI alert correlation RAG knowledge bases LLMOps pipelines Roles & Responsibilities: Design, build, and operate enterprise observability platforms Splunk providing unified metrics, logging, and tracing across all infrastructure tiers with OpenTelemetry instrumentation standards Engineer and govern the IaC platform Terraform or Pulumi including module libraries, state management, policy-as-code (Sentinel/OPA), drift detection, and multi-cloud coverage across AWS and GCP Build and maintain CI/CD and GitOps pipeline infrastructure GitHub Actions, ArgoCD for infrastructure and application platform delivery operate the Internal Developer Portal (Backstage) for self-service provisioning Own ITSM platform engineering ServiceNow workflow automation, CMDB reconciliation, PagerDuty/OpsGenie integrations, and automated incident creation pipelines across all infrastructure towers Engineer LLM-powered runbook automation integrating OpenAI, Anthropic Claude, or Google Gemini with infrastructure tooling to automate incident triage, resolution workflows, and knowledge base queries Build agentic ITSM workflows multi-agent orchestration (LangChain, LlamaIndex, CrewAI) that autonomously handle incident classification, runbook execution, and stakeholder communication with human-in-the-loop controls Implement AI-powered alert correlation and noise reduction LLM-based reasoning to group related alerts, suppress false positives, and surface actionable incident context to on-call engineers Design RAG architectures for infrastructure knowledge bases enabling engineers to query runbooks, operational docs, and incident history through natural language interfaces backed by vector databases Engineer secret management infrastructure HashiCorp Vault dynamic secrets, PKI automation, and Kubernetes auth across multi-cloud and on-premises environments Mentor engineers across all towers set platform engineering standards, drive tooling roadmaps, and act as the highest technical escalation point for platform and AI tooling issues Professional & Technical Skills: Mandatory Certifications -Terraform Associate or Professional- Splunk Professional -AWS DevOps Engineer Pro or GCP DevOps Engineer -Certified Kubernetes Administrator (CKA)- HashiCorp Vault Associate -Observability: Splunk SLO engineering, OpenTelemetry, ELK/Splunk log pipelines, distributed tracing -IaC & Automation: Terraform (advanced) modular design, policy-as-code, drift detection Ansible/Chef for configuration management -CI/CD & GitOps: GitHub Actions, ArgoCD pipeline engineering, GitOps workflows, policy enforcement, infrastructure deployment automation -ITSM Engineering: ServiceNow workflow automation, CMDB integration, incident/problem/change API integration, PagerDuty/OpsGenie connectivity -Internal Dev Portal: service catalogue, golden path templates, self-service provisioning, and plugin development -Secret Management: HashiCorp Vault dynamic secrets, PKI automation, Kubernetes auth, multi-cloud secrets lifecycle -LLM & AI Tooling: OpenAI, Anthropic Claude, Google Gemini prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps -AI Orchestration: LangChain, LlamaIndex, CrewAI agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows -Scripting & Dev: Python (advanced) platform tooling development, LLM SDK integration, infrastructure automation, API development -FSI Compliance: PCI DSS, SOX, DORA platform access controls, audit logging, policy-as-code enforcement, and regulatory evidence production Preferred / Advantageous Crossplane for Kubernetes-native cloud resource provisioning eBPF-based observability Cilium, Pixie, or Hubble for deep infrastructure telemetry AI/ML infrastructure GPU node management, model serving platforms (Triton, vLLM), or MLflow Platform engineering or SRE consulting background within financial services Additional Information: Infrastructure Platform Engineering & Tooling Observability, IaC, CI/CD, ITSM, and IDP platforms are reliable, well-governed, and actively adopted across all infrastructure towers with measurable reductions in operational toil AI-augmented operations are deployed in production runbook automation, agentic ITSM workflows, and LLM-powered alert correlation reduce MTTR and free engineers from repetitive work IaC coverage is comprehensive and drift-free environments reproducible, policy-compliant, and pipeline-deployable without manual intervention Engineering teams across all towers regard the Principal Engineer as the authoritative platform expert who removes blockers, sets the standard, and makes hard problems tractable -12 15+ years in platform, tools, or infrastructure engineering - The candidate should have minimum 7.5 years of experience in Agentic Orchestration. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. 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