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Forward Deployed Engineer

ExperiencedNo visa sponsorship
Accenture logo

at Accenture

Consultancies

Posted 8 days ago

No clicks

**Forward Deployed Engineer** embeds with client teams to deploy and scale AI platforms (Anthropic, OpenAI, Microsoft, etc.) in enterprise environments. Own production outcomes, enhance time-to-value, reliability, and adoption. Define role at scale, tackle diverse AI challenges across industries. Required skills: rapid prototyping, AI architecture design, pattern-building; minimum 5 years' exp. in AI/ML and 2+ years in enterprise environments.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Shape the future of AI-led business transformation.

A Forward Deployed AI Engineer works embedded inside a client's enterprise, shoulder to shoulder with their teams, making complex AI platforms work in real organisational environments. You own outcomes: time-to-value, adoption, reliability, and scalability.


We are building the largest Forward Deployed Engineering capability in the services industry. The engineers who join at this stage will define what the role looks like at scale, and will work on the most interesting enterprise AI problems across every industry.


What you will do

  • Embed directly with client engineering and business teams to deploy, scale, and operationalise AI platforms, including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, and Palantir, inside enterprise environments
  • Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability
  • Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready
  • Design and govern AI architectures across the full enterprise stack, spanning identity, data, security, governance, platform layer, and workflow integration
  • Build reusable patterns, playbooks, and accelerators that the client owns after you leave, and codify delivery learnings that scale across engagements

Forward Deployed Engineer

Compensation

Not specified

City: Not specified

Country: Not specified

Accenture logo
Consultancies

8 days ago

No clicks

at Accenture

ExperiencedNo visa sponsorship

**Forward Deployed Engineer** embeds with client teams to deploy and scale AI platforms (Anthropic, OpenAI, Microsoft, etc.) in enterprise environments. Own production outcomes, enhance time-to-value, reliability, and adoption. Define role at scale, tackle diverse AI challenges across industries. Required skills: rapid prototyping, AI architecture design, pattern-building; minimum 5 years' exp. in AI/ML and 2+ years in enterprise environments.

Full Job Description

Shape the future of AI-led business transformation.

A Forward Deployed AI Engineer works embedded inside a client's enterprise, shoulder to shoulder with their teams, making complex AI platforms work in real organisational environments. You own outcomes: time-to-value, adoption, reliability, and scalability.


We are building the largest Forward Deployed Engineering capability in the services industry. The engineers who join at this stage will define what the role looks like at scale, and will work on the most interesting enterprise AI problems across every industry.


What you will do

  • Embed directly with client engineering and business teams to deploy, scale, and operationalise AI platforms, including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, and Palantir, inside enterprise environments
  • Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability
  • Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready
  • Design and govern AI architectures across the full enterprise stack, spanning identity, data, security, governance, platform layer, and workflow integration
  • Build reusable patterns, playbooks, and accelerators that the client owns after you leave, and codify delivery learnings that scale across engagements