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Software Engineer
Overview
We’re entering a new era, one defined by the power of AI to reshape what’s possible. At Microsoft, we’re not just exploring the future of AI, we’re building it. Our mission is ambitious: to create an open, next-generation AI platform that empowers organizations to unlock unprecedented value. Imagine a world where businesses can summon intelligent, bespoke AI agents that accelerate decision-making, enhance productivity, and transform customer experiences. This is your chance to help shape that future. As a Forward Deployed Engineer (FDE), you’ll operate at the intersection of advanced AI technology and real-world business impact — embedded directly with customers to bring bold ideas to life.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
As a Microsoft Forward Deployed Engineer, you’ll be a hands-on builder working in close partnership with customers to address their most pressing challenges. Whether through direct collaboration on-site, virtually, or in hybrid models, you’ll immerse yourself in their mission to design and deliver AI-powered solutions that create measurable impact. You’ll move quickly from concept to prototype to production, iterating alongside stakeholders to ensure solutions are both technically sound and operationally adopted.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your work will span engineering data pipelines and integrations, building custom applications, and deploying scalable workflows that bring AI to life in critical business processes. Importantly, your role doesn’t end at launch -- you’ll remain accountable for monitoring, refining, and driving adoption of what you build. As a bridge between the customer environment and Microsoft’s engineering teams, you’ll also share insights from the field that influence the direction of our AI platforms. Finally, as part of a growing FDE community, you’ll contribute to knowledge sharing, mentor peers, and help set the standards for how Microsoft delivers AI-first transformation.
Qualifications
Required qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Competence with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code.
- Solid understanding and successful demonstration of system security, scalability, reliability, and maintainability.
- Practical Experience with AI/LLMs: Experience designing and implementing ML/LLM-based solutions in production environments.
- Experience leveraging generative AI technologies to develop innovative and user-focused product features.


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Other requirements
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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