Enterprise AI Solutions Engineer

Fenwick & West LLP

Palo Alto (CA)

On-site

USD 126,000 - 189,000

Full time

6 days ago
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Benefits offered by this job

Discretionary bonus
Comprehensive benefits
Health insurance

Job summary

Fenwick & West LLP in Palo Alto is seeking an experienced software engineer for its AI Innovation team to design, develop, and deploy AI-powered applications, agents, and workflow automations that translate business opportunities into production-ready solutions.

You will partner with attorneys and business teams to identify high-impact use cases, prototype rapidly, and scale successful systems while improving reliability, security, and user experience across the firm.

Qualifications

  • 5+ years of software engineering experience building and deploying business applications.
  • Experience with Python/JavaScript/TypeScript and API integrations.
  • Strong problem-solving and ability to translate business needs into technical solutions.
  • Excellent communication and collaboration with non-technical stakeholders.
  • Demonstrated curiosity and enthusiasm for AI technologies and their practical application.

Responsibilities

  • Design, develop, and deploy AI-powered apps, agents, and workflows.
  • Lead end-to-end AI projects from concept to production deployment.
  • Collaborate with attorneys and business teams to understand needs and translate opportunities into working solutions.
  • Evaluate models and stay current on AI advancements.

Skills

5+ years exp
Python/JavaScript/TypeScript
API & data integration
AI-powered apps
Communication skills
AI curiosity
Agent architectures
Cloud platforms

Tools

APIs

Job description

Fenwick & West LLP in Palo Alto is seeking an experienced software engineer for its AI Innovation team to design, develop, and deploy AI-powered applications, agents, and workflow automations that translate business opportunities into production-ready solutions.

You will partner with attorneys and business teams to identify high-impact use cases, prototype rapidly, and scale successful systems while improving reliability, security, and user experience across the firm.

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