Consultant

Responsibilities:

• Embed with customer stakeholders to understand business workflows, constraints, and success metrics; translate ambiguous needs into clear requirements, solution hypotheses, and sprint deliverables for GenAI/agentic scenarios.
• Design and implement agentic and GenAI solutions on Microsoft platforms (e.g., Dynamics 365, M365 Copilots, Power Platform, Azure) including integrations, APIs, and automations that accelerate adoption and deliver measurable outcomes.
• Prototype rapidly, then harden to production: build POCs for agentic workflows (multi-step tasks, tool-use, orchestration), validate with users, and evolve to production-ready implementations with testing, monitoring, and secure deployment patterns.
• Own end-to-end delivery from architecture through implementation: define build/test specifications, create eval and quality gates for GenAI outputs, and produce operational guides/runbooks for reliability, safety, and maintainability.
• Identify and mitigate business/technical risks specific to AI systems (data access, prompt injection, hallucinations, privacy, compliance, latency, cost); propose safeguards and fallback behaviors for agentic flows.
• Support deployment and live stabilization: troubleshoot integrations and model behavior in real environments, iterate quickly, and ensure successful go-live with clear ownership, monitoring, and incident playbooks.
• Balance platform configuration with extensibility to maximize speed and maintainability.
• Co-engineer with customer teams to ensure knowledge transfer, documentation, and reusable patterns.
• Drive delivery plans across the full lifecycle - discovery, build, eval, deployment, and operations - accounting for dependencies across data, security, and enterprise systems.
• Build agentic workflows that invoke tools/APIs safely (function calling patterns), with guardrails, validation, and auditability.
• Implement evaluation strategies (offline/online) to measure output quality, groundedness, safety, and business impact.
• Capture repeatable assets (templates, reference architectures, accelerators) and share feedback loops with internal teams.
• Microsoft 365 Migration & Security - SharePoint Server to SharePoint Online (SP-SPO), Google to Microsoft (GPC-MS). Experienced migration talent especially welcome.
• Dynamics 365 Customer Engagement - Salesforce takeouts (SF Takeout), Contact Center as a Service (CCaaS), and standard CE (Sales / Customer Service / Field Service).
• Copilot Extensibility (M365 & D365) - Copilot and Copilot Studio agents, multi-agent (A2A) orchestration, Microsoft Agent Framework and governance, deep expertise in Work IQ (data, memory, inference) and APIs, enterprise data grounding via Graph/D365/connectors.
• Azure Fabric & Azure AI Foundry - One Lake-based unified data management, Lakehouse architecture for analytics and AI, model catalog usage for model discovery and fine-tuning, enterprise agent development and multi-agent orchestration via Foundry Agent Service, data grounding and RAG using One Lake and Azure AI Search.
• Embody our culture and values.

Qualifications:

• Bachelor's degree in computer science, engineering, or related field AND demonstrated experience delivering production software solutions (or equivalent experience).
• 4+ years' experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot / Power Platform / Azure), including integration, security, and deployment in customer environments.
• Proven experience delivering hands-on, production-grade solutions across the full delivery lifecycle, including requirement ambiguity, development, deployment, and post-go-live stabilization.
• Proven delivery of Dynamics 365 CE/Power Platform solutions, M365 Copilot solutions, plus experience building AI-infused workflows (recommendations, summarization, case routing, contact center assist, sales/service copilots) with production-grade engineering practices.
• Experience building or extending solutions involving copilots, AI-assisted workflows, or intelligent automation is a strong plus.
• Certifications and/or experience in Azure solutions, Dynamics 365, M365 Copilot, and Power Platform; exposure to Azure AI services and GenAI solution patterns is a strong plus.
• Agile delivery, DevOps, CI/CD, and operational readiness (observability, incident response) strongly preferred - especially for AI systems.
• Desirable experience includes Azure solution development, contact center solutions, Copilot Studio, and building GenAI/agentic experiences (tool-use orchestration, retrieval grounding, evaluation/quality loops, safety/guardrails).
• Excellent communication: explain AI behaviors, risks, and tradeoffs to technical and non-technical stakeholders; drive alignment from ambiguity to execution.
• Trusted customer-facing engineering presence: collaborate deeply, pair-build with customer teams, and transfer knowledge to ensure long-term maintainability.
• Proactively identify and mitigate risks, including AI-specific failure modes (grounding gaps, unsafe outputs, data leakage) and enterprise constraints (security, privacy, compliance).
• IC role: influence without authority through strong engineering judgment, structured problem-solving, and crisp stakeholder communication.
• Comfort working across time zones and blended onsite/offshore models; thrives in fast-moving, customer-embedded delivery.

Success in this role includes:

• Delivers working GenAI/agentic solutions from prototype to production with measurable customer impact.
• Implements guardrails and evaluation to ensure reliability, groundedness, safety, and cost/performance targets.
• Leaves behind reusable assets, documentation, and enabled customer teams (no dependency).