Automation Anywhere
AI-powered automation
ForwardDeploymentEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward Deployment Engineer at Automation Anywhere. Skills: Agentic AI, LLM Fine-Tuning & Adaptation, RAG & Vector Infrastructure, RPA, Python. Architect multi-agent systems with branching logic, exception handling & human-in-the-loop escalation.. Define agent tool integrations, memory, context management & state persistence.”
What You'll Achieve.
boost productivity; accelerate growth; unleash human potential
Industry & Context.
failure recovery; exception handling; human-in-the-loop escalation; diagnose hallucination; tool misuse; cost runaway
What They're Looking For.
Must Have
5–8 years in software, 3+ years building production-grade automation solutions, Demonstrated end-to-end delivery of agentic AI systems or complex enterprise RPA prototypes
Nice to Have
AWS, Azure or RPA platforms such as UiPath or Automation Anywhere
What You'll Do.
Architect multi-agent systems with branching logic
exception handling & human-in-the-loop escalation.
Define agent tool integrations
context management & state persistence.
Own fine-tuning strategy (fine-tune vs RAG vs prompt engineering) and deliver end-to-end
Manage GPU training runs
quantization & production serving
Build RPA task bots as execution layers within agentic workflows
Architect AI agent ↔ RPA handoff logic and exception management
Build agent evaluation implement observability & tracing (LangSmith
CI/CD for agent/model diagnose hallucination
tool misuse & cost runaway
How You'll Work.
Team & Collaboration
stakeholder discovery workshops; communicate architecture trade-offs to non-technical audiences
Communication Scope
communicate architecture trade-offs to non-technical audiences
Process & Methodology
end-to-end delivery of agentic AI systems or complex enterprise RPA prototypes, Leads solution architecture independently, owns LLM adaptation strategy end-to-end
Full Job Description
**About Us** Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. _**QUALIFICATIONS**_ **Education** : Bachelor’s or Master’s in CS, AI/ML, Data Science or equivalent practical experience **Experience** : 5–8 years in software engineering; 3+ years building production-grade automation solutions Demonstrated end-to-end delivery of agentic AI systems or complex enterprise RPA prototypes **Certifications (Preferred):** AWS, Azure or GCP; RPA platforms such as UiPath or Automation Anywhere **Scope** : Leads solution architecture independently, owns LLM adaptation strategy end-to-end, mentors junior engineers; leads stakeholder discovery workshops _**SKILLS**_ **Agentic AI:** LangChain/LangGraph, AutoGen, CrewAI **Agent patterns** : tool use, memory, multi-agent coordination, guardrails, failure recovery **LLM Fine-Tuning & Adaptation**: LoRA/QLoRA with HuggingFace PEFT or Unsloth; Dataset prep, evaluation benchmarking, model versioning; Serving fine-tuned models:vLLM,GPTQ, GGUF **RAG & Vector Infrastructure:** Pinecone, Weaviate, Qdrant; embeddings, retrieval evaluation **RPA:** UiPath, Automation Anywhere, Power Automate in production **Engineering** : Python (production quality); Cloud AI services (Bedrock,Azure, OpenAI, Vertex AI) _**RESPONSIBILITIES**_ **Agent Design & Engineering:** * Architect multi-agent systems with branching logic, exception handling & human-in-the-loop escalation. * Define agent tool integrations, memory, context management & state persistence. **LL
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