Consultant
About the job
- A bachelor's degree in computer science, engineering, or a related field, or equivalent experience, is required.
- At least 10 years of experience delivering enterprise-scale solutions on Microsoft platforms, including Dynamics 365, Microsoft 365 Copilot, Power Platform, or Azure, with integration, security, and deployment experience in customer environments.
- Experience delivering hands-on, production-grade solutions across the full delivery lifecycle is preferred.
- Experience delivering Dynamics 365 Customer Engagement and Power Platform solutions, Microsoft 365 Copilot solutions, and AI-infused workflows is preferred.
- Experience building or extending solutions involving Copilots, AI-assisted workflows, or intelligent automation is preferred.
- Certifications or experience in Azure Solutions, Dynamics 365, Microsoft 365 Copilot, and Power Platform, plus exposure to Azure AI services and generative AI solution patterns, are preferred.
- Experience with Agile delivery, DevOps, continuous integration and continuous delivery, observability, and incident response is preferred.
- Experience with Azure solution development, contact center solutions, Copilot Studio, and generative AI or agentic experiences is preferred.
- The role requires the ability to explain AI behaviors, risks, and tradeoffs to technical and non-technical stakeholders.
- The role requires a trusted customer-facing engineering presence, deep collaboration with customer teams, pair-building, and knowledge transfer.
- The role requires proactively identifying and mitigating AI-specific failure modes and enterprise security, privacy, and compliance constraints.
- The role requires influencing without authority through strong engineering judgment, structured problem-solving, and clear stakeholder communication.
- The role requires comfort working across time zones and blended onsite/offshore delivery models.
- 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 generative AI and agentic scenarios.
- Design and implement agentic and generative AI solutions on Microsoft platforms, including Dynamics 365, Microsoft 365 Copilots, Power Platform, and Azure, with integrations, application programming interfaces, and automations.
- Rapidly prototype agentic workflows, validate proofs of concept with users, and evolve them 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 generative AI outputs, and producing operational guides and runbooks.
- Identify and mitigate AI-system risks including data access, prompt injection, hallucinations, privacy, compliance, latency, and cost, and propose safeguards and fallback behaviors.
- Support deployment and live stabilization by troubleshooting integrations and model behavior, iterating in real environments, 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; provide knowledge transfer and documentation; and drive delivery across discovery, build, evaluation, deployment, and operations.
- Build agentic workflows that safely invoke tools and application programming interfaces 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 such as templates, reference architectures, and accelerators, and share feedback loops with internal teams.
- Deliver Microsoft 365 migrations from SharePoint Server to SharePoint Online and from Google to Microsoft.
- Deliver Dynamics 365 Customer Engagement solutions, including Salesforce takeouts, contact center as a service, and Sales, Customer Service, and Field Service implementations.
- Build and govern Microsoft 365 and Dynamics 365 Copilot Studio agents, multi-agent orchestration, Microsoft Agent Framework solutions, Work IQ integrations, and enterprise data grounding through Graph, Dynamics 365, and connectors.
- Develop Azure Fabric and Azure AI Foundry solutions, including OneLake unified data management, lakehouse architectures, model catalog usage, Foundry Agent Service, data grounding, and retrieval-augmented generation with OneLake and Azure AI Search.
- Deliver working generative AI and agentic solutions from prototype to production with measurable customer impact.
- Implement guardrails and evaluations to ensure reliability, groundedness, safety, and cost and performance targets.
- Leave reusable assets, documentation, and enabled customer teams without creating ongoing dependency.
- Experienced migration talent, particularly for Microsoft 365 migration scenarios, is especially welcome.
About the company
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, Washington
Founded
1975
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Simplify's Take
What believers are saying
- US corporate staff receive education support: eligible, approved graduate coursework qualifies for up to $10,000 annually.
- Cloud demand expands: July 2026 results showed Azure and other cloud services revenue grew 43% year-over-year in fiscal Q4.
- Investment has an earnings cushion: July 2026 results reported $155.2 billion consolidated operating profit for fiscal 2026.
What critics are saying
- Performance reviews include security: every Microsoft employee must discuss their security contribution with their manager.
- Office flexibility depends on the role: Microsoft's postings specify requirements ranging from fully remote to fully on-site.
- Cloud capacity faces local limits: Microsoft describes power-grid delays and water constraints affecting US datacenter expansion.
What makes Microsoft unique
- Hybrid customers stay within reach: Azure Arc manages servers across customer datacenters and competing clouds.
- Developer reach extends beyond Azure: Microsoft's GitHub hosts code collaboration alongside AI coding tools.
- Professional data widens its business: Microsoft owns LinkedIn's recruiting, advertising and workplace-learning network.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Professional Development Budget
Conference Attendance Budget
Flexible Work Hours
Remote Work Options
Growth & Insights and Company News
6 month growth
0%1 year growth
0%2 year growth
0%Investor Michael Burry, known for calling the 2008 housing crash, has warned that Microsoft and other big tech firms carry roughly $3 trillion in off-balance-sheet AI data-center liabilities. He said the companies are spending heavily because they assume they will get an oligopoly "too big to fail." Microsoft's capital spending in the June quarter was $41 billion, up 70% from a year ago. Its commercial remaining performance obligations, or contracted revenue not yet recognised, exceed $678 billion. Fourth-quarter revenue rose 18% to $90 billion, and net income rose 31% to $35.8 billion. Azure passed $100 billion in annual revenue. Shares are up 41% in three months. Analysts' consensus rating is "Strong Buy," with an average price target of $577.98.
Arena Physica has made Heaviside, its foundation model for electromagnetism, available on Microsoft Discovery, Microsoft's platform for agentic engineering. The company announced the move on October 13, 2026. Heaviside-1 has 350 million parameters and was trained on 250,000 3D field simulations. It predicts a design's full 3D electromagnetic field response in milliseconds, roughly 100,000 times faster than a traditional solver, and within a decibel of commercial accuracy. Traditional solvers can take hours or days per run, which makes design verification the main bottleneck. On Discovery, an agent can switch between Heaviside's predictions and a full-fidelity solver for final validation. Arena Physica expects strong uptake in semiconductors, including BGA packaging and SerDes interconnects. Discovery also offers audit logging and access controls to protect sensitive designs.
Venture capitalist Chamath Palihapitiya said power and physical infrastructure could be the lasting constraints in the AI race. He posted on X on Monday, after Microsoft announced its own silicon chips. Palihapitiya wrote that chipmakers will move up the stack while application companies move down it, so "everyone competes with everyone." He asked whether distribution, a data moat, or a physical limit such as power would support long-term margins. Elon Musk replied that scaling power, fast construction, cooling, networking, and batteries "is hard." Microsoft chief executive officer Satya Nadella said the company will scale its Maia chips to multi-gigawatt deployments starting next year. He said the Maia 300 delivers 40% more tokens per watt than leading GPU-based systems.
Peter Lee, who recently announced his departure as president of Microsoft Science, plans to join the Mercedes Formula 1 team as an AI advisor, he told Fortune. The role is newly created, and his title is still under discussion. Lee spent 16 years at Microsoft. At Mercedes, he will use AI to tackle car physics problems, break down data silos, build financial and predictive models, and advise on how regulators might govern AI in the sport. He is expected to sign a one-year contract with an option for a second. "I have always wanted to be a racer," Lee said. His exit follows other Microsoft departures this year, including Ryan Roslansky and Frank X. Shaw.
Microsoft has unveiled its latest homegrown Maia chips, part of an effort to rely less on outside semiconductor makers for its AI ambitions, Bloomberg reports. Elon Musk, meanwhile, wants to speed up chip development by testing as many as 10 new designs a year. Apple is also set to unveil its new smart home strategy, which seeks to fill a major gap in its ecosystem.