AI Forward Deployed Engineer

Shermco Industries

. Work with stakeholders from technicians and field crews through executive leadership to understand workflows, team needs, and organizational initiatives .

Posted 11/5/2026full-timeIrving • Texas • United StatesMid-LevelSenior💰 $130,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and delivering AI solutions using tools like Copilot Studio, Azure AI Foundry, and Python, while effectively collaborating with stakeholders to translate needs into actionable outcomes. Proven ability to integrate AI with enterprise systems and ensure post-launch adoption through training and user engagement.

Highest-signal resume keywords

Python ProgrammingAI Solution DevelopmentIntegration With REST APIsStakeholder EngagementAzure AI Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringApplied Machine LearningSQL SkillsLLM-Based SolutionsPrompt DesignTool UseEvaluationLow-Code DevelopmentDocument Intelligence

Soft Skills

Clear CommunicationIndependent WorkUser Feedback IterationRelationship BuildingProblem-Solving

Tools & Technologies

Copilot StudioAzure AI FoundryMicrosoft FabricPower PlatformSalesforceBusiness CentralDayforceClaudeChatGPTGitHub Copilot

Certifications & Qualifications

AI-102AI-900

Industry Keywords

ConstructionElectricalField ServicesOperations-Heavy IndustryInternal Consulting

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Work with stakeholders from technicians and field crews through executive leadership to understand workflows, team needs, and organizational initiatives
Turn vague requests into scoped problem statements and identify, size, and prioritize AI opportunities
Build trusted working relationships with business leaders and front-line users
Build and deliver solutions using Copilot Studio, Azure AI Foundry, Microsoft Fabric, Power Platform, Claude, Python, and other approved AI tools and models
Integrate AI with Salesforce, on-premises Business Central, Dayforce, and field service platforms
Put solutions in front of users early, gather feedback, and iterate toward measurable outcomes
Agree on success measures with business owners, track results after launch, and change course or stop work when value is not delivered
Take low-code and configuration solutions through production with documentation, evaluation cases, named business owners, and production support
Hand off solutions requiring extensive custom code or complex agents to the AI Product Engineer
Partner with the Data & AI Governance Engineer on data access, security, and responsible AI standards
Own post-launch adoption through training, office hours, business-unit champions, and usage follow-up
Teach business users to identify suitable AI use cases and use approved AI tools safely
Bring field insight to the Data & AI team to shape roadmaps, reusable components, and priorities
Use AI-assisted development while remaining accountable for accuracy, security, and maintainability
Contribute reusable patterns, prompts, templates, and lessons learned
Share knowledge, provide peer review, and help shape Shermco's broader AI strategy

Requirements

What you’ll need

5+ years of experience in software engineering, data engineering, applied machine learning, solutions engineering, or a related technical role
2+ years building AI or LLM-based solutions used in production
Strong Python and SQL skills
Experience integrating with REST APIs and enterprise systems
Hands-on experience building with LLMs, including prompt design, retrieval-augmented generation, tool use, and basic evaluation
Experience with a cloud AI platform such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI
Demonstrated ability to run discovery with stakeholders from front-line staff to executive leadership and translate ambiguous problems into scoped, buildable solutions
Track record of shipping quickly, measuring results, and iterating based on user feedback
Clear written and verbal communication, including explaining AI capabilities, limits, and risks to non-technical audiences
Comfort working independently, traveling to business unit locations approximately 10%, and managing several engagements at once
Legally authorized to work in the United States without current or future employer sponsorship
Preferred: Experience in a forward deployed, solutions engineering, internal consulting, or embedded product role
Preferred: Experience with Copilot Studio, Microsoft Fabric, Power Platform, or Microsoft Foundry
Preferred: Experience with agent frameworks and protocols such as Microsoft Agent Framework, Semantic Kernel, LangGraph, or Model Context Protocol (MCP)
Preferred: Practical experience using Claude, ChatGPT, GitHub Copilot, or comparable AI tools to accelerate development
Preferred: Experience with Salesforce, on-premises Business Central, Dayforce, or field service management platforms
Preferred: Experience with document intelligence, unstructured data, or speech and image use cases
Preferred: Light front-end or low-code app building experience for prototypes
Preferred: Background in construction, electrical, field services, or another operations-heavy industry
Preferred: Microsoft certification such as AI-102 or AI-900

Benefits

Comp & perks

A fast-growing Data & AI department where you will shape how AI is applied across the company
A small, senior team with real ownership and direct access to leaders in every business function
Current AI tooling across the Microsoft stack and Claude
Operating model that favors speed and enabling governance over process for its own sake
Work that shows up in how a real-world business estimates, schedules, and delivers