Senior Forward Deployed Data & AI Engineer

London / Hybrid | Full-time

About Aays

Aays is one of the world's leading applied AI companies. We don't build AI for its own sake: we apply it to the real, high-stakes problems that large and fast-growing companies face every day.

Our teams solve some of the most complex corporate challenges, from freeing up cash and reshaping supply chains to giving leadership teams sharper, faster decisions. To do this we bring together big data, cloud computing and AI, and turn them into solutions that run inside our clients' businesses and deliver measurable results.

We are a team of consultants, engineers and data scientists who like hard problems and enjoy learning from each other. Here, the work is challenging, the impact is visible and growth comes quickly. Come and join us for a life-changing journey.

The role

As a Forward Deployed Engineer, you’ll work side by side with our clients’ teams on engagements that matter to their leadership. You’ll take loosely defined business problems and turn them into working, reliable solutions. You’ll own the whole journey, from understanding the problem statement to map the current process to designing solution to delivering and deploying solution. Success is measured by the difference you make for the client.

What you’ll do

• Build applications end to end, covering both the user interface and the logic and services behind it using platforms such as Azure, AWS and GCP
• Engineer data flows, services and interfaces that hold up as volumes and users grow
• Embed large language models from leading providers into client solutions that go live, not just into demos
• Release solutions into live environments, keep an eye on their health, and tune them for speed and cost
• Find the root cause when something breaks, whether it’s in a Spark job, a service or the front end
• Turn fuzzy asks into clear technical plans, and explain the options and trade-offs to engineers and executives alike
• Agree what success looks like at the start of each engagement, then track and share the results
• Take ownership and make sound calls independently, even when the spotlight is on you

What you’ll bring

• 6–8+ years of hands-on engineering across data platforms or full-stack development
• 5+ years working directly with clients to deliver technical solutions, in consulting or a similar setting
• Clear evidence of taking solutions from initial design all the way to live operation
• Practical delivery experience on Databricks across several client projects
• Databricks Data Engineer Professional certification, or the commitment to achieve it soon after joining
• Experience on at least one of AWS, Azure or GCP
• Experience with automated build, test and release practices
• Comfortable using AI coding assistants and current AI development frameworks
• An up-to-date understanding of the wider Databricks platform and how its components fit together

What will make you stand out

• An under-the-hood understanding of how Spark executes workloads, and how to tune it
• Deploying AI solutions at scale in production
• Developing application for high concurrency and availability
• Experience across multiple clouds, with real depth in one of them
• Databricks accreditations, technical writing, or open-source work you can point us to
• Domain knowledge in Finance, Supply Chain, CPG or Manufacturing

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