Forward Deployed AI Engineer
About the role
- About Our Client:
The organization operates in the integration and automation platform industry, focusing on simplifying how companies integrate, automate, and optimize business processes. It addresses the challenge of complex and fragmented enterprise systems by providing a platform powered by advanced technologies such as runtime AI and prebuilt integrations. Recognized as a leader in its field, the organization has earned distinctions from Gartner and holds top rankings on industry platforms, indicating significant reach and impact in intelligent automation.
- About the Opportunity:
The Forward Deployed AI Engineer role is central to driving the adoption of advanced AI capabilities within enterprise customer environments. This position involves identifying key business processes for automation, designing and implementing AI-driven solutions, and collaborating closely with customers to deliver measurable business value. The role combines technical expertise with client engagement to accelerate digital transformation initiatives.
- Responsibilities:
Conduct workshops and strategy sessions with executive teams to identify AI opportunities and document project plans
Utilize AI capabilities including AI Studio, agentic workflows, and MCP server orchestration
Collaborate with customer data teams to assess data quality and transformation needs
Design intelligent prompts and develop AI agents and solutions
Set up and maintain scalable integration runtime environments
Design and manage APIs with attention to best practices in security and governance
Co-build solutions alongside customers and partners, sharing best practices
Develop proofs-of-concept and minimum viable products rapidly
Perform end-to-end testing and validation of AI solutions
Ensure adherence to performance, security, and governance standards
Provide go-live support, ongoing advisory services, and knowledge transfer
Educate customers on platform capabilities
Mentor junior developers and participate in design reviews
- Requirements:
Strong problem-solving skills for complex AI and integration challenges
Excellent communication skills across technical and executive stakeholders
Client-facing professionalism with leadership in discussions and training
Self-driven with ability to manage multiple priorities independently
Business acumen and sound decision-making abilities
Expertise in prompt engineering, LLM models, API integration, and management
Knowledge of API lifecycle, versioning, security, and governance
Experience with ERP systems integration and cloud/SaaS platforms
Proficiency in data transformation and middleware/iPaaS architectures
Experience with AI/LLM service integration and agentic orchestration
Preferred Bachelor’s degree in relevant technical fields
7+ years of experience including technical consulting and client engagement
3+ years of AI development experience with production deployments
Familiarity with relevant technologies such as Node.js, SOAP/REST, JSON, XML, SQL
- Pay Range and Compensation Package:
The organization reasonably expects to pay a base salary between $145,000 and $160,000 per year for this position. Actual starting pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may include variable incentives, benefits, or other perks as outlined in formal employment offers.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
Responsibilities
- Conduct workshops and strategy sessions with executive teams to identify AI opportunities and document project plans
- Utilize AI capabilities including AI Studio, agentic workflows, and MCP server orchestration
- Collaborate with customer data teams to assess data quality and transformation needs
- Design intelligent prompts and develop AI agents and solutions
- Set up and maintain scalable integration runtime environments
- Design and manage APIs with attention to best practices in security and governance
- Co-build solutions alongside customers and partners, sharing best practices
- Develop proofs-of-concept and minimum viable products rapidly
Qualifications
- Strong problem-solving skills for complex AI and integration challenges
- Excellent communication skills across technical and executive stakeholders
- Client-facing professionalism with leadership in discussions and training
- Self-driven with ability to manage multiple priorities independently
- Business acumen and sound decision-making abilities
- Expertise in prompt engineering, LLM models, API integration, and management
- Knowledge of API lifecycle, versioning, security, and governance
- Experience with ERP systems integration and cloud/SaaS platforms
Skills mentioned
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