M

Microsoft

Builds workplace software, PCs and cloud services

Consultant

Implementation & Technical Account ManagementUpdated on Nov 11
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or a related field, plus demonstrated experience delivering production software solutions, or equivalent experience.
  • At least 8 years of experience delivering enterprise-scale solutions on Microsoft platforms, including Dynamics 365, M365 Copilot, Power Platform, or Azure, with integration, security, and deployment in customer environments.
  • Excellent communication skills to explain AI behaviors, risks, and tradeoffs to technical and non-technical stakeholders and drive alignment from ambiguity to execution.
  • Ability to collaborate deeply with customer teams, pair-build, and transfer knowledge to support long-term maintainability.
  • Ability to proactively identify and mitigate AI-specific failure modes, including grounding gaps, unsafe outputs, and data leakage, as well as enterprise security, privacy, and compliance constraints.
  • Ability to work across time zones and blended onsite/offshore models in fast-moving, customer-embedded delivery.
  • Ability to influence without authority through engineering judgment, structured problem-solving, and stakeholder communication.

Responsibilities

  • Embed with customer stakeholders to understand business workflows, constraints, and success metrics, and translate ambiguous needs into clear requirements, solution hypotheses, and sprint deliverables for GenAI and agentic scenarios.
  • Design and implement agentic and GenAI solutions on Microsoft platforms, including Dynamics 365, M365 Copilots, Power Platform, and Azure, with integrations, APIs, and automations that accelerate adoption and deliver measurable outcomes.
  • Rapidly prototype agentic workflows, validate them with users, and evolve proof-of-concepts into production-ready implementations with testing, monitoring, and secure deployment patterns.
  • Own end-to-end delivery from architecture through implementation by defining build and test specifications, creating evaluation and quality gates for GenAI outputs, and producing operational guides and runbooks for reliability, safety, and maintainability.
  • Identify and mitigate AI-system risks involving data access, prompt injection, hallucinations, privacy, compliance, latency, and cost, and propose safeguards and fallback behaviors for agentic flows.
  • Support deployment and live stabilization by troubleshooting integrations and model behavior in real environments, iterating quickly, and ensuring 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 transfer knowledge and create documentation and reusable patterns; drive delivery plans across discovery, build, evaluation, deployment, and operations while accounting for data, security, and enterprise-system dependencies.
  • Build agentic workflows that safely invoke tools and APIs using function-calling patterns, guardrails, validation, and auditability.
  • Implement offline and online evaluation strategies to measure output quality, groundedness, safety, and business impact.
  • Capture repeatable assets, including templates, reference architectures, and accelerators, and share feedback with internal teams.
  • Deliver Microsoft 365 migrations and security work, including SharePoint Server to SharePoint Online and Google-to-Microsoft migrations.
  • Deliver Dynamics 365 Customer Engagement solutions, including Salesforce takeouts, Contact Center as a Service, and standard Sales, Customer Service, and Field Service solutions.
  • Deliver Copilot extensibility for M365 and D365, including Copilot Studio agents, multi-agent orchestration, Microsoft Agent Framework and governance, Work IQ data, memory, inference and APIs, and enterprise data grounding through Graph, D365, and connectors.
  • Deliver Azure Fabric and Azure AI Foundry solutions, including OneLake-based unified data management, Lakehouse architecture for analytics and AI, model catalog use for model discovery and fine-tuning, enterprise agent development and multi-agent orchestration through Foundry Agent Service, and data grounding and retrieval-augmented generation using OneLake and Azure AI Search.
  • Embody Microsoft's culture and values.

Desired Qualifications

  • Hands-on experience delivering production-grade solutions across the full delivery lifecycle, including requirements ambiguity, development, deployment, and post-go-live stabilization.
  • Experience delivering Dynamics 365 CE and Power Platform solutions, M365 Copilot solutions, and AI-infused workflows such as recommendations, summarization, case routing, contact-center assistance, and sales or service copilots using production-grade engineering practices.
  • Experience building or extending solutions involving Copilots, AI-assisted workflows, or intelligent automation.
  • Certifications or experience in Azure Solutions, Dynamics 365, M365 Copilot, and Power Platform; exposure to Azure AI services and GenAI solution patterns.
  • Agile delivery, DevOps, CI/CD, and operational readiness experience, including observability and incident response, especially for AI systems.
  • Experience with Azure solution development, Contact Center solutions, Copilot Studio, and GenAI or agentic experiences involving tool-use orchestration, retrieval grounding, evaluation and quality loops, and safety guardrails.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

Recently Posted Jobs

Explore more opportunities at Microsoft

See more jobs