Sr. AI Engineer

Cynosure, LLC; Westford (MA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Cynosure, LLC in Westford, MA is seeking a Sr. AI Engineer (Forward Deployed) to partner with business stakeholders to turn ambiguous needs into governed AI and automation delivered through enterprise platforms.

Responsibilities include leading discovery workshops, designing scalable AI solutions, and ensuring security, compliance, and measurable business value across Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI services. Hybrid work with up to 15% travel.

Qualifications

• Bachelor’s degree in a technical field.
• 5+ years of relevant software engineering or solutions experience.
• Hands-on experience with enterprise AI platforms, especially Microsoft 365 Copilot and related tools.

Responsibilities

• Collaborate with leaders, functional teams, and end users to understand business goals and map workflows.
• Run discovery workshops to translate needs into use cases and success criteria.
• Design, prototype, and deploy AI and automation solutions using Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI services.
• Define governance, security, and data-protection considerations for enterprise platforms.

Job description

Sr. AI Engineer (Forward Deployed) partners with business stakeholders to turn ambiguous needs into governed AI and automation delivered through enterprise platforms.

Responsibilities

• Collaborate with leaders, functional teams, and end users to understand business goals, map workflows, identify pain points, and define AI and automation opportunities.
• Run discovery workshops and translate business needs into use cases, requirements, solution options, expected benefits, risks, and success measures.
• Assess and prioritize opportunities using a standardized business case covering business value, cost, feasibility, data readiness, security, compliance, user impact, risk, time-to-value, scalability, and total cost of ownership.
• Design, prototype, code, configure, test, integrate, deploy, and support AI and automation solutions using Microsoft 365 Copilot, Copilot Chat, Copilot agents, Copilot Studio, Power Platform, Azure AI services, APIs, and appropriate software-development frameworks.
• Provide technical feasibility, architecture, effort, dependency, and delivery-risk inputs alongside the VP, AI Transformation, Information Systems (IS), business sponsors, and relevant governance stakeholders while maintaining primary accountability for solution design and implementation.
• Support coordinated intake, prioritization, benefits tracking, and executive reporting as the organization’s AI operating model matures.
• Lead assigned solutions with autonomy by balancing experimentation with enterprise standards, documenting decisions, managing delivery commitments, and escalating material risks or dependencies early.
• Create reusable prompts, agent instructions, workflows, connectors, templates, and solution patterns; maintain an inventory and documentation for approved capability discovery, governance, support, and scaling.
• Coordinate with IS, Information Security, Legal, Privacy, Data, and business process owners to ensure alignment with enterprise architecture, responsible AI, data protection, and access-control requirements, including production support, monitoring, human oversight, and escalation responsibilities.
• Evaluate data, content, integration, and process readiness; design secure connections across Microsoft 365, Teams, SharePoint, CRM (Salesforce), ERP (SAP), service management (ServiceNow), and other enterprise platforms; identify dependencies and recommend pragmatic remediation or phased delivery.
• Build proofs of concept and minimum viable solutions; validate technical feasibility and business value; gather user feedback; iterate and harden pilots into secure, reliable, scalable, observable, maintainable, and supported production use with documented architecture, testing, performance, continuity, and support requirements.
• Define and track adoption, quality, active usage, time and capacity recaptured, cycle-time reduction, risk, reuse, and business-value metrics; communicate outcomes, limitations, and lessons learned to business and executive stakeholders.
• Enable users through demonstrations, office hours, documentation, training, community engagement, and practical guidance for AI fundamentals, prompting skills, and safe adoption practices.
• Troubleshoot technical and operational issues; coordinate with internal teams and vendors; identify recurring user and platform needs; provide actionable feedback to technology owners; improve performance, reliability, usability, and maintainability.
• Stay current on emerging AI, agentic, automation, and Microsoft platform capabilities; inventory licensed capabilities; evaluate vendor and architecture fit; recommend whether to extend a platform, buy, build, or engage an external partner.
• Embody and live company Values.
• Travel internationally as required (up to 15% of time).

Requirements

• Bachelor’s degree required in Computer Science, Information Systems, Data Science, Engineering, or a closely related technical field.
• 5+ years of relevant experience.
• Five or more years in software engineering, solutions engineering, technical consulting, solutions architecture, or a related field, including hands-on delivery of AI, data, integration, low-code, or automation solutions.
• Experience working 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; Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI services experience strongly preferred, including evaluating whether to extend, buy, or build.
• Consulting skills with exceptional active listening, facilitation, and relationship-building to establish trust and build shared ownership across functions and levels.
• Strong business-process analysis and problem framing to translate ambiguous needs into clear use cases, requirements, experiments, solution options, delivery plans, and measurable success criteria.
• 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 for grounding, accuracy, reliability, safety, latency, and cost.
• Demonstrated enterprise solution experience with Microsoft 365 Copilot, 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 (JavaScript, TypeScript, or C#), plus SQL, REST APIs, source control, cloud services, and modern software-development practices.
• Ability to design secure, governed integrations between AI agents and enterprise tools, APIs, applications, and data sources, including authentication, authorization, identity, permissions, privacy, compliance, responsible AI, and human-in-the-loop controls.
• Strong written and verbal communication skills to explain technical concepts, architectural trade-offs, risks, and recommendations to nontechnical audiences and executive stakeholders.
• Change-management and user-enablement experience including training, documentation, demonstrations, community engagement, and adoption support.
• Outcome-oriented approach with experience defining value hypotheses and measuring adoption, efficiency, quality, risk reduction, reuse, and business impact.

Technologies

• Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Copilot agents, Copilot Studio
• Power Automate, Power Platform, Power Apps
• Azure AI services, Microsoft Graph, Dataverse
• Microsoft 365, Teams, SharePoint
• CRM (Salesforce), ERP (SAP), ServiceNow
• APIs, Python, JavaScript, TypeScript, C#, SQL
• REST APIs, retrieval-augmented generation, agents and multi-agent patterns
• Workflow automation, human-in-the-loop controls
• Model Context Protocol (MCP), Azure OpenAI, Azure AI Foundry

Physical Demands

• Sit; use hands to finger, handle or feel objects, tools, or controls.
• Stand; walk; reach with hands and arms; and stoop, kneel, crouch, or crawl.
• Other: Domestic & International travel (approx. 15%), including extended flights and work across multiple time zones.

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, and secure cloud application development.
• Experience designing, deploying, or governing Model Context Protocol (MCP) servers and familiarity with Microsoft Work IQ, Microsoft IQ, or comparable enterprise intelligence, semantic-grounding, and agent-context capabilities.

Location: Westford, MA (hybrid)

Compensation: USD 150,000 - 190,000 per yearly

Travel: International travel as required (up to 15% of time)