Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Cynosure, LLC.

Senior AI Engineer

Cynosure, LLC.

. Partner with leaders, functional teams, and end users to understand business goals, map workflows, identify pain points, and define AI and automation opportunities .

Posted 11/5/2026full-timeWestford • Massachusetts • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI and automation solutions using Microsoft technologies, with a strong focus on business process analysis, stakeholder engagement, and measurable value delivery. Proficient in developing secure integrations and managing the full lifecycle of AI solutions from discovery to deployment and user enablement.

Highest-signal resume keywords
AI Solution DeliveryMicrosoft 365 TechnologiesPython ProgrammingBusiness Process AnalysisStakeholder Engagement

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI SolutionsAutomation SolutionsIntegration DevelopmentLow-Code DevelopmentSQLREST APIsCloud ServicesGenerative AIPrompt EngineeringData Analysis
Soft Skills
Consulting SkillsActive ListeningFacilitation SkillsRelationship BuildingCommunication Skills
Tools & Technologies
Microsoft AzurePower AutomatePower AppsMicrosoft TeamsSharePointMicrosoft GraphDataverseAzure AI ServicesSalesforceServiceNow
Industry Keywords
Solutions EngineeringTechnical ConsultingSoftware EngineeringChange ManagementUser Enablement

Tech Stack

Tools & technologies
AzureCloudJavaScriptPythonServiceNowSQLTypeScript

About the role

Key responsibilities & impact
  • Partner with leaders, functional teams, and end users to understand business goals, map workflows, identify pain points, and define AI and automation opportunities
  • Facilitate discovery workshops and translate business needs into use cases, requirements, solution options, expected benefits, risks, and success measures
  • Assess and prioritize opportunities using standardized business cases covering value, cost, feasibility, data readiness, security, compliance, user impact, risk, scalability, and total cost of ownership
  • Design, prototype, code, configure, test, integrate, deploy, and support AI and automation solutions using Microsoft and Azure technologies
  • Provide technical feasibility, architecture, effort, dependency, and delivery-risk inputs while maintaining accountability for solution design and implementation
  • Lead assigned solutions autonomously, document technical decisions, manage delivery commitments, and escalate risks or dependencies
  • Develop reusable prompts, agent instructions, workflows, connectors, templates, and solution patterns with supporting documentation and inventories
  • Collaborate with IS, Information Security, Legal, Privacy, Data, and business process owners on architecture, responsible AI, data protection, access control, production support, monitoring, and escalation
  • Evaluate data, content, integration, and process readiness; design secure connections across Microsoft 365, Teams, SharePoint, Salesforce, SAP, ServiceNow, and other platforms
  • Build proofs of concept and minimum viable solutions, validate feasibility and business value, gather feedback, iterate, and harden successful pilots for production
  • Define and track adoption, quality, usage, time recaptured, cycle-time reduction, risk, reuse, and business-value metrics
  • Enable users through demonstrations, office hours, documentation, training, community engagement, and practical guidance
  • Troubleshoot technical and operational issues, coordinate with internal teams and vendors, and improve solution performance, reliability, usability, and maintainability
  • Stay current on AI, agentic, automation, and Microsoft capabilities; evaluate extend-versus-buy-versus-build options
  • Embody and live company Values
  • Travel internationally as required, up to 15% of the time

Requirements

What you’ll need
  • Bachelor’s degree required in Computer Science, Information Systems, Data Science, Engineering, or a closely related technical field
  • 5+ years of relevant experience in software engineering, solutions engineering, technical consulting, solutions architecture, or a related field
  • Hands-on delivery of AI, data, integration, low-code, or automation solutions
  • Experience working directly with business stakeholders from discovery and business-case development through architecture, prototyping, production deployment, adoption, and value measurement
  • Hands-on experience with at least one enterprise AI platform
  • Exceptional consulting, active-listening, facilitation, and relationship-building skills
  • Strong business-process analysis and problem-framing skills
  • Hands-on knowledge of generative AI, prompt and context engineering, retrieval-augmented generation, agents and multi-agent patterns, workflow automation, APIs, integrations, and evaluation methods
  • Demonstrated experience with Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Copilot Studio, Power Automate, Power Apps, SharePoint, Teams, Microsoft Graph, Dataverse, Azure AI services, or related Microsoft technologies
  • Ability to design, build, test, debug, deploy, and maintain solutions using Python and at least one enterprise application language such as JavaScript, TypeScript, or C#
  • Experience with SQL, REST APIs, source control, cloud services, and modern software-development practices
  • Ability to design secure, governed integrations with appropriate authentication, authorization, identity, permissions, privacy, compliance, responsible AI, and human-in-the-loop controls
  • Strong written and verbal communication skills, including explaining technical concepts to nontechnical audiences and executive stakeholders
  • Demonstrated change-management and user-enablement skills
  • Experience defining value hypotheses and measuring adoption, efficiency, quality, risk reduction, reuse, and business impact
  • Preferred: experience delivering production AI solutions, agentic workflows, retrieval-augmented generation, custom copilots, Azure AI Foundry or Azure OpenAI solutions, data pipelines, enterprise integrations, DevOps and CI/CD practices, observability, automated testing, secure cloud application development, MCP servers, Microsoft Work IQ, Microsoft IQ, or comparable capabilities

Benefits

Comp & perks
  • Ability to travel internationally as required (up to 15% of time)
  • Domestic & International travel (approx. 15%), including extended flights and work across multiple time zones