Principal Forward Deployed Engineer, Enterprise AI Productivity
Deploy enterprise AI assistants, copilots, and agentic workflows using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Originally posted 11 November 2026 by the employer.
About the role
The Principal Forward Deployed Engineer partners directly with business organizations to implement Enterprise AI across Analog Devices. This role embeds with business teams to evaluate workflows, prototype AI-driven solutions, and evolve pilots into enterprise platforms.
What you'll do
- Partner directly with business leaders to identify productivity bottlenecks and growth opportunities.
- Lead discovery workshops and translate ambiguous business challenges into AI solution roadmaps.
- Design, prototype, and deploy Enterprise AI assistants, copilots, and agentic workflows.
- Build proof-of-concepts and validate business value.
- Collaborate with platform teams to productize successful solutions using shared enterprise platforms.
- Define evaluation frameworks, KPIs, and success metrics for AI initiatives.
What you'll need
- 10+ years of engineering experience delivering complex software, data, and AI solutions in enterprise environments.
- Demonstrated experience designing, building, and deploying AI-enabled business solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and agentic workflows.
- Strong software engineering background spanning cloud-native architectures, APIs, microservices, distributed systems, data pipelines, and enterprise integrations.
- Experience developing AI copilots, assistants, workflow automation, and productivity solutions.
- Experience establishing evaluation frameworks, observability, experimentation, and performance metrics for AI systems.
- Experience working directly with business stakeholders to translate ambiguous challenges into technical solutions and strategic roadmaps.
Nice to have
- Experience with multi-agent systems, agent orchestration, MCP-based integrations, knowledge graphs, and enterprise search.
- Hands-on experience with modern AI platforms and cloud ecosystems including Microsoft CoPilot Studio, AWS Bedrock, and vector database technologies.
- Experience building reusable platform capabilities, SDKs, shared services, and architectural patterns.
- Knowledge of Responsible AI, AI governance, security, and compliance requirements.
- Experience with product analytics, telemetry, experimentation, and AI observability platforms.
- Background spanning multiple engineering disciplines including software, data, AI/ML, cloud infrastructure, and platform engineering.
More semiconductor jobs: Analog Devices jobs · Texas jobs
First seen in our index 0 days ago, well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
1034
|
Median days since first seen
56 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Analog Devices | All employers we track in this specialty (1034 roles · 94 employers) |
|---|---|---|
| Open roles in this specialty | 18 | 1034 |
| Open roles in the wider Software, Firmware & Systems family | 111 | 6577 · 158 employers |
| Median days since first seen | 71 d | 56 d (−15 d vs this employer) |
| Median salary (USD postings) | n/a | $236k |
Who's hiring in this category
- NVIDIA · 345 open roles · median 60 d
- Qualcomm · 56 open roles · median 61 d
- AMD · 54 open roles · median 36 d
- Graphcore · 47 open roles · median 117 d
- Arm Holdings · 37 open roles · median 14 d
- Intel Corporation · 36 open roles · median 22 d
How we counted: 1034 open Infrastructure/Platform Software (Infrastructure Platform) roles from 94 employers tracked in the SemiconductorJobs index, counted 11 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.