ai engineer

lead software engineer

platform engineer

engineering director

engineering manager

ai enablement lead

PureGym

<div>
 
 The PureGym Way
 
 
 
 The PureGym Group is a global gym business with a community of more than 700 gyms and over 2 million members. At PureGym, everything we do comes back to one simple idea: helping you feel good.
 
 
 We're proud of our people and have a strong focus on internal progression. Championing diversity, we are committed to providing an excellent employee experience and workplace culture. As such, we are a
 
 Disability Confident Committed
 
 employer, and offer interviews to candidates who meet the essential criteria for a role, and opt-in to the scheme on their application form.
 
 
 Our gyms are friendly, supportive, and judgement-free spaces where everybody can come in, work out and leave Feeling PureGym Good. We are proud to be certified by
 
 Top Employers Institute.
 
 See our careers page for full benefits.
 
 
 
 We offer
 
 
 
 <ul>
 <li>
 Free nationwide gym membership for you + 1
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 A truly flexible working culture
 </li>
 <li>
 Personal private healthcare, including digital GP
 </li>
 <li>
 Life insurance x4
 </li>
 <li>
 Company pension contribution
 </li>
 <li>
 25 days annual leave, plus 1 personal day
 </li>
 <li>
 Great learning &amp; development resources
 </li>
 <li>
 Enhanced maternity pay, paternity and adoption leave
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 
 Location: London/Hybrid. Office attendance is expected 2 days a week
 
 
 
 
 Type: Full Time
 
 
 
 
 Contract type: 6-month fixed term contract
 
 
 
 
 Application deadline: Sunday 5th July
 
 
 
 AI is reshaping how PureGym operates. As the one of the largest gym operators in the world, we are looking to evolve how people use gyms and runs gyms. The purpose of this role is to unlock the value of AI across our teams, Head Office functions through to our gym floors, bridging the gap between capability and adoption.
 
 
 As AI Enablement Specialist, your job is to make AI work in practice. That means identifying where AI can have real commercial impact, designing and delivering use cases with the teams who own them, and building the knowledge, skills, and confidence across the business. You will work hands-on and desk-side with colleagues, and through a network of AI champions embedded across the business.
 
 
 You will also play a key role in ensuring AI is used safely and responsibly, working closely with Cyber Security and Infrastructure to ensure innovation happens within the right guardrails.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and define AI use cases across the business, identifying where AI can drive genuine value and building the case for investment
 </li>
 <li>
 Taking use cases from idea to Proof of Value, working with a wide range of teams
 </li>
 <li>
 Upskill colleagues at all levels, from Head Office functions to gym teams, through structured learning, coaching, and desk-side support
 </li>
 <li>
 Build and nurture a network of AI champions embedded across the business, equipping them to drive adoption within their own teams
 </li>
 <li>
 Track and communicate the impact of AI adoption, demonstrating the evidence base for ROI across use cases.
 </li>
 <li>
 Coordinate with technical teams to ensure new tools and use cases are assessed and adopted within appropriate governance frameworks.
 </li>
 <li>
 Ensure PureGym&rsquo;s AI stance and policies evolve to keep it current as the technology and our adoption of it evolves.
 
 
 </li>
 </ul>
 
 The Person
 
 
 
 We Are Looking For An Ambitious Individual With a Genuine Passion For AI And How It Can Change The Way People Work. The Following Core Attributes Are Essential
 
 
 <ul>
 <li>
 Innovative and curious: always seeking new applications and better ways of working; as comfortable prototyping an idea as communicating one.
 </li>
 <li>
 Biased towards action: takes initiative, works hands-on, and sees things through to measurable impact rather than stopping at recommendations.
 </li>
 <li>
 Collaborative: thrives working across teams and functions and energised by bringing others on a journey.
 </li>
 <li>
 A great communicator: able to make AI feel accessible, exciting and relevant to any audience &mdash; from gym floor staff to senior leadership.
 </li>
 <li>
 Credible under scrutiny: comfortable navigating governance conversations and able to earn trust with Cyber Security and risk stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 A track record of enabling others: designing and delivering training, coaching, or capability-building programmes.
 </li>
 <li>
 Able to own change management initiatives and deliver measurable outcomes
 </li>
 <li>
 A keen interest to work with AI tools, particularly large language models and generative AI applications in a business context.
 </li>
 <li>
 Experience translating complex or emerging technology into practical, accessible guidance for non-technical audiences.
 </li>
 <li>
 Familiarity with technical governance, policy design, or working within Cyber Security and risk frameworks
 </li>
 <li>
 Strong commercial awareness to frame AI opportunities in terms of business value and measurable outcomes
 
 
 </li>
 </ul>
 PureGym is proud to be an equal opportunities employer. Our company mantra is &lsquo;Everybody Welcome&rsquo; and we are dedicated to promoting a diverse and inclusive place to work. From a hiring standpoint, we welcome applicants from all backgrounds and are committed to ensuring that our PureGym colleagues reflect the diversity of the nation as well as our millions of gym members we serve.
 
 
 Please note: Qualifications and Skills represent the essential criteria for the role, which need to be met to be offered an interview under the Disability Confident Scheme. Volume of eligible applications may impact everyone being able to be offered an interview.
 
 
 Applications will be reviewed on a rolling basis, and the advert may be withdrawn at any time. Early application is encouraged.
 
 
 
 
 #IndeedHP
 
 
</div>

AI Enablement Lead

Taktile

<div><h2 class="jobSectionHeader">About Taktile</h2>
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions &mdash; approving more customers, reimbursing claims instantly, and financing every business worth funding.
Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, London, Berlin, S&atilde;o Paulo, and Iași, the company has raised $189M from Goldman Sachs Growth Equity, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com.<h2 class="jobSectionHeader">
About the Role</h2>
Taktile builds AI products for the world's most complex decisions and we hold ourselves to the same standard internally. We believe the companies that win the next decade will be the ones that turn AI from a tool into a multiplier - embedded into how every team works.
We're looking for an AI Enablement Lead to make this the reality at Taktile. This is a high-leverage, internal-facing operations role: you won't be building features for our customers, you'll be building the tools, integrations, and workflows that make every Taktilian faster and better at their job.
You'll be the first hire dedicated to this mission, working closely with team leads across the company to identify, build, and scale the AI workflows with the biggest impact. You'll be taking over a program that was set up internally and comes with support for infrastructure and agent-building. You will operate at both strategic and hands-on levels: setting the roadmap and reporting directly to leadership, while also building workflows and running enablement yourself.
Taktile is a hybrid company. This role requires working at least 3 days per week from one of our offices in Berlin, Iasi, or London.<h2 class="jobSectionHeader">
What You'll Do</h2><h3 class="jobSectionHeader">
Strategy &amp; Roadmap</h3><ul><li>
Define and own Taktile's internal AI roadmap, prioritize use cases across Go-to-market, Operations, and G&amp;A</li><li>
Track market trends, peer practices, regulatory evolution, and emerging tools &mdash; stay on the frontier, know when new tools and models release, which ones are worth experimenting with, and bring the best back into the business</li><li>
Continuously evaluate and improve our setup to maximize adoption and improve efficiency of our teams</li><li>
Report to leadership on progress, AI adoption, and program ROI</li><li>
Set the internal standard for &quot;production-ready&quot; AI workflows and act as the escalation point and quality bar for everything our teams ship</li><li>
Define a build vs. buy framework for AI point solutions - assessing, approving, or deprecating tools in close collaboration with our teams</li></ul><h3 class="jobSectionHeader">
Agentic Workflow Development</h3><ul><li>
Build internal tools and agents end-to-end that wire Taktile's SaaS stack (HubSpot, Notion, Linear, Gong) into our engineers' and operators' daily workflows. Own scope, design, implementation, rollout, and iteration.</li><li>
Evolve AI architecture based on internal customer needs and tangible, measurable improvements.</li><li>
Identify, prioritize, and scale automation opportunities across business units, while clearly differentiating what can and should be automated and to what degree vs. what should not (yet)</li><li>
Find the highest-leverage workflows. Embed with teams across Engineering, GTM, Customer Success, Finance, and Operations to identify where AI can remove the most friction.</li><li>
Build team-level ownership and coordinate a network of AI champions so workflows are maintained without central dependency</li></ul><h3 class="jobSectionHeader">
Capability Building &amp; governance</h3><ul><li>
Drive adoption, not just deployment. Run hands-on workshops, pair sessions, and office hours to teach teams how to actually use what you ship. Measure success in real adoption and time saved, not features delivered.</li><li>
Partner with Security and IT on governance. Apply least-privilege principles from day one. Build the guardrails, access scoping, and audit trails that let us move fast on AI without exposing customer data or production systems.</li></ul><h2 class="jobSectionHeader">
What You'll Need</h2><ul><li>
5+ years in consulting, operations, or a similar cross-functional senior role</li><li>
Ability to write and review production-grade Python and SQL - preferably with a strong technical background - e.g., Data Science</li><li>
Technical deployment experience + hands-on experience building with modern LLM tooling - agent frameworks, tool use, prompt engineering, MCP, evals</li><li>
Enough technical depth to converse about LLM pipelines, agentic workflows, and integrations</li><li>
Excellence breaking down complex problems and making quick, well-informed decisions even under pressure</li><li>
Strong program management skills across complex, multi-stakeholder environments</li><li>
Fluent English, both written and spoken. Strong written and verbal communication skills from leadership reporting to internal playbooks - with both technical and non-technical operators alike</li></ul><h2 class="jobSectionHeader">
Our Stack</h2><ul><li>
AI: Claude</li><li>
Programming Language: Python</li><li>
Data Platform: AWS, Snowflake, dbt, Terraform</li><li>
Internal Tools: Notion, Linear, HubSpot, Gong, Ramp</li></ul>
What We Offer<ul><li>
Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.</li><li>
Make an impact and meaningfully shape an early-stage company.</li><li>
Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.</li><li>
Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.</li><li>
Receive a top-of-market equity and cash compensation package.</li><li>
Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.</li><li>
Use the equipment of your choice including meaningful home office set-up.</li></ul>
Our Stance<ul><li>
We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.</li><li>
We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.</li></ul>
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (&ldquo;we&rdquo; or &ldquo;us&rdquo;) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates&rsquo; data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.<div></div> 
By submitting your application, you acknowledge that you have read and understood Taktile&rsquo;s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com</div>

AI Operations Lead

MUFG

<div>Company Description 
MUFG Investor Services is a trusted partner to many of the world&rsquo;s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today&rsquo;s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world&rsquo;s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. To learn more, visit us at www.mufg-investorservices.com. 
Job Description 
We are hiring a Senior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI-assisted development across the organization.
This is not a traditional full-stack role, and it is not a &ldquo;prompt engineering&rdquo; role. You will work at the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement.
You will help build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI-assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards.
You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability.
You Will:<ul><li>
Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle.</li><li>
Design and build internal tools, workflows, templates, integrations, and automation that make AI-assisted development safer, faster, and more consistent.</li><li>
Create and maintain engineering standards, guidance, and reusable patterns for AI-assisted software delivery.</li><li>
Help teams adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability.</li><li>
Work with engineers/stakeholders to understand real delivery pain points and translate them into practical enablement solutions.</li><li>
Build or integrate capabilities around AI-assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval.</li><li>
Contribute to AI governance implementation by helping translate policy and security expectations into usable engineering workflows.</li><li>
Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks.</li><li>
Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment.</li><li>
Coach and support engineers through workshops, documentation, demos, and hands-on enablement.</li><li>
Operate with high autonomy in a fast-moving area where ambiguity is expected and practical ownership is essential.</li></ul>
AI &amp; Engineering Enablement Mindset:<ul><li>
Strong interest in how AI is changing software engineering, developer workflows, and engineering productivity.</li><li>
Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools.</li><li>
Ability to distinguish between AI experimentation and production-grade engineering practices.</li><li>
Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards.</li><li>
Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout.</li><li>
Curious about areas such as AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement.</li></ul>
The Impact You Will Have:<ul><li>
Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards.</li><li>
Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance.</li><li>
Improve developer experience by removing friction from common engineering tasks.</li><li>
Help establish measurable AI adoption practices across software engineering.</li><li>
Contribute to the next generation of AI-enabled engineering capability within MUFG Investor Services.</li></ul> 

Qualifications 
You Have (Required):<ul><li>
8+ years of professional software engineering experience, with strong ownership of complex systems, platforms, or engineering capabilities.</li><li>
Strong proficiency in TypeScript and modern JavaScript.</li><li>
Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns.</li><li>
Experience working across frontend and backend boundaries, including APIs, integrations, services, and data flows.</li><li>
Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness.</li><li>
Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements.</li><li>
Ability to work with multiple engineering teams, understand their delivery challenges, and create practical solutions that scale.</li><li>
Strong written communication skills, with the ability to create clear technical guidance, onboarding material, and adoption documentation.</li><li>
Ability to operate in ambiguity, structure unclear problems, and move from discovery to delivery.</li><li>
Security-conscious engineering mindset, especially when introducing new tools, automation, or AI-assisted workflows. 
</li></ul>Preferred:<ul><li>
Experience with AI-assisted development tools in real software delivery, not only experimentation.</li><li>
Experience building internal platforms, developer tooling, engineering productivity tools, or paved-road capabilities.</li><li>
Experience with Node.js, Python, or another backend language.</li><li>
Experience with cloud-based systems, preferably AWS.</li><li>
Experience with observability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards.</li><li>
Experience in regulated or enterprise environments with strong governance, security, and release discipline.</li><li>
Experience with design systems, frontend platform standards, accessibility, and reusable UI patterns.</li><li>
Experience with knowledge retrieval, documentation systems, RAG-style workflows, or internal engineering knowledge platforms.</li><li>
Experience designing lightweight evaluation approaches for AI-generated outputs, automation, or agentic workflows.</li><li>
Experience coaching engineers, running workshops, or driving adoption of new engineering practices.</li></ul> 

Additional Information 
What&rsquo;s in it for you to join MUFG Investor Services?
Take a look at our careers site and you&rsquo;ll find everything you&rsquo;d expect from a career with the fastest-growing business at one of the world&rsquo;s largest financial groups. Now take another look. Because it&rsquo;s how we defy expectations that really defines us. You&rsquo;ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING &amp; DEVELOPMENT.
So, why settle for the ordinary? Apply now for a Brilliantly Different career.
We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted.
MUFG is an equal opportunity employer.</div>

Senior AI Enablement Engineer

Ci&T

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
 
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
 
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
 
We're looking for a contractor to join us on a 6 month basis for a project working in the financial services sector to help build their AI Enablement on their data platform using Snowflake Cortex.
 
In this role you'll
 Enable AI capabilities on the Data 4.0 platform using Snowflake Cortex
 Build AI-ready datasets and semantic-ready data products
 Support use cases such as metric intelligence, anomaly detection and AI-assisted analysis
 Help define reusable implementation patterns for Snowflake Cortex use cases
 Work with Analytics Engineering to expose trusted metrics and governed datasets for AI use cases
 Support future AI/agentic capabilities such as monitoring agents, recommended actions and personalised insights
 Document implementation patterns, assumptions and platform considerations
 Ensure AI enablement aligns with data quality, access and governance standards
 
The skills we need: 
Strong hands-on experience with Snowflake
 Experience or good working knowledge of Snowflake Cortex / Snowflake AI capabilities
 Strong SQL and data engineering skills
 Experience preparing AI-ready datasets and semantic-ready data products
 Understanding of data modelling, metrics and business-friendly data layers
 Python experience is desirable
 Understanding of AI-assisted analytics, metric intelligence or agentic use cases is desirable
 Awareness of data governance, access control and responsible AI considerations
 Ability to work with platform, analytics engineering and analytics stakeholders
 
Collaboration is our superpower, diversity unites us, and excellence is our standard.
 We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

[29844] - AI Data Engineer - Snowflake Cortex - Contractor

Databricks

<div>SLSQ327R354
Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.
Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.
The impact you will have:
<ul><li>Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.</li>
<li>Lead with outcomes for key Lakebase personas &mdash; including platform teams and developers, data teams, and central IT &mdash; articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.</li>
<li>Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.</li>
<li>Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.</li>
<li>Orchestrate proof-of-value and POCs that validate Lakebase&rsquo;s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.</li>
<li>Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.</li>
<li>Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.</li>
<li>Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.</li>
<li>Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation.</li>
</ul>What we look for:
<ul><li>Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.</li>
<li>Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.</li>
<li>Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.</li>
<li>Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).</li>
<li>Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.</li>
<li>Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.</li>
<li>Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.</li>
<li>Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.</li>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
</ul><h2 class="jobSectionHeader">What success looks like in this role</h2>
This role requires the ability to operate across two key motions simultaneously:
<ul><li>Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.</li>
<li>Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.</li>
</ul>Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.
Success in this role requires strength in four areas:
<div><ul><li>Business ownership &ndash; Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.</li></ul>
<ul><li>Strategic account engagement &ndash; Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.</li></ul>
<ul><li>Field enablement &ndash; Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.</li></ul>
<ul><li>Market voice and thought leadership &ndash; Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.</li></ul>
</div><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Lakebase Sales Specialist (Enterprise UKI)

<div>Role description 
We&rsquo;re seeking a highly capable Senior DevOps Lead to help modernise and evolve a large-scale enterprise DevOps toolchain within a complex, regulated environment.

This role sits at the intersection of platform engineering, developer enablement, security, and governance. You&rsquo;ll work closely with engineering teams, platform owners, security, audit, and risk stakeholders to deliver secure, scalable, and developer-friendly DevOps capabilities that support enterprise software delivery at scale.

This is a hands-on engineering role with strong influence across CI/CD strategy, platform reliability, automation, governance, and AI-assisted engineering practices.

What You&rsquo;ll Be Doing:
<ul>
<li>Design, build, and enhance enterprise DevOps platforms and CI/CD tooling</li>
<li>Improve developer experience through scalable, secure, and reusable platform capabilities</li>
<li>Provide L3 support and operational oversight for CI/CD tooling, build agents, and self-hosted runners</li>
<li>Drive automation, reliability, and continuous delivery best practices across engineering teams</li>
<li>Implement secure-by-default, auditable, and compliant DevOps solutions</li>
<li>Collaborate closely with developers, platform teams, security, audit, and risk functions to co-design practical solutions</li>
<li>Support governance requirements including RBAC, policy enforcement, audit logging, and pipeline controls</li>
<li>Contribute to AI-assisted engineering initiatives including AI-enabled CI/CD, testing, and developer productivity tooling</li>
<li>Help shape modern platform engineering and DevSecOps practices within the organisation</li>
</ul>
What you will bring:

DevOps Senior expert who has hands on experience on DevOps tools, automation ,having experience in driving DevOps solutions in large organizations The person will have to drive automation, AI assisted DevOps capabilities and collaboratively work with delivery, audit, risk, compliance teams to deliver software safely and effectively.
<ul>
<li>Minimum of 12+ years of experience in DevOps, Platform Engineering, or SRE environments</li>
<li>Strong hands-on experience with CI/CD platforms, Kubernetes, infrastructure automation, and cloud technologies</li>
</ul>
Mandatory -
<ul>
<li><ul><li><ul><li>Strong experience with DevOps platforms, CI/CD, Kubernetes, cloud infrastructure, and automation.</li>
<li>Github and Azure DevOps</li>
<li>Build agents (AKS based for Azure DevOps and Github, self-hosted agents as well)</li>
<li>Terraform</li>
<li>Agentic coding tools (Claude code/other tools)</li>
<li>Github copilot</li>
</ul></li>
</ul></li></ul>Good to have &ndash; Experience on Octopus, SonarQube, JFrog artifactory, checkmarx (At least 2 of these should be fine)

If you are interested , please apply for an immediate discussion

#UST 
Skills 
devops,devsecops,docker,infrastructure as code,cloud cost optimization,azure 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Sr DevOps Lead Consultant with Agentic AI exp( Solution Architect II - Cloud Infrastructure Services

Appvia

<div>Senior Data &amp; AI Solutions Architect
Technical Pre-Sales / Customer Solutions
Location: London, UK - Hybrid 
Contract: Permanent - Full-time (~1-2 days per week in office) 
Package: &pound;80,000-100,000 + 30% Bonus + 10% Shares + Benefits (see more below) 
About Appvia
Appvia is a specialist platform engineering and AI enablement consultancy, helping organisations design, build, and operate modern cloud platforms and transform how software is delivered.
Our work spans platform engineering, software modernisation, data platforms, AI enablement, and managed services. We partner with public and private sector organisations to solve complex challenges, improve developer productivity, and unlock value from modern cloud and AI technologies.
As demand for our Data &amp; AI capability continues to grow, we are investing heavily in building repeatable services, assets, and accelerators that help customers move from experimentation to real business outcomes.
About the Role
We are looking for a senior, customer-facing Data &amp; AI Solutions Architect to help shape and grow Appvia's Data &amp; AI capability.
This is a high-impact role sitting at the intersection of Revenue, Engineering, and Product. Working closely with the Head of Cloud Solutions and the growing Data &amp; AI Practice, you will help customers turn data into decisions and AI into value, while influencing Appvia's services, propositions, and go-to-market strategy.
With demand strongest around modern data platforms, we are looking for someone with deep expertise in data architecture and hands-on experience across modern data and AI technologies. You will own technical engagements from initial discovery through proof-of-value and into delivery handover, building trusted relationships with customers and guiding them from ideas to measurable outcomes.
This is a fantastic opportunity for a technically strong communicator who enjoys combining architecture, storytelling, and customer engagement, and who wants to play a key role in defining the future of Data &amp; AI at Appvia. 
 
Interview Process - 3 Stage<ul><li>
Discovery conversation with Talent Acquisition</li><li>
Technical interview with Data &amp; AI Practice
</li><li>Final interview with Leadership</li></ul> 

Requirements 
 
Responsibilities<ul><li>
Partner with the Revenue team to shape account plans, opportunity strategy, and business objectives</li><li>
Technically qualify opportunities, validating customer fit, decision criteria, and clear paths to value</li><li>
Own the technical outcome of customer engagements from discovery through proof-of-value and into delivery</li><li>
Lead workshops to uncover business goals, technical constraints, and success criteria</li><li>
Qualify value, ROI, and TCO to help customers secure investment and stakeholder buy-in</li><li>
Support proposals, Statements of Work, RFI/RFP responses, and security questionnaires</li><li>
Design and deliver compelling demonstrations, proofs-of-concept, and technical deep dives</li><li>
Build reusable demo environments, reference architectures, and technical assets to accelerate future sales cycles</li><li>
Create segmented technical content, webinars, and industry-facing material with Marketing</li><li>
Develop relationships with cloud and SI partners to expand Appvia's reach and co-sell opportunities</li><li>
Represent Appvia at customer workshops, industry events, and community meetups</li><li>
Feed customer insight, competitive intelligence, and market trends back into Product and Professional Services</li></ul>
About You
You are a technically strong communicator who enjoys engaging with customers and making complex ideas easy to understand. Equally comfortable presenting to C-level stakeholders or discussing architecture with engineers, you're passionate about helping organisations realise value from modern data and AI technologies.
You will bring:<ul><li>
Experience in pre-sales, solution architecture, consulting, or technical evangelism within Data &amp; AI</li><li>
Strong understanding of modern data platforms and data architecture</li><li>
Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar</li><li>
Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture</li><li>
Familiarity with the Data Science and ML lifecycle, including feature engineering, model training, monitoring, and MLOps</li><li>
Working knowledge of GenAI technologies, including RAG, MCP, vector databases, LLM providers, agentic workflows, and LLMOps</li><li>
Experience with cloud-native technologies across AWS, Azure, or GCP, including their Data and AI services</li><li>
Understanding of data governance, responsible AI, access controls, data lineage, and compliance requirements</li><li>
Experience running proofs-of-concept and technical evaluations through to successful outcomes</li><li>
Strong customer-facing experience within enterprise environments</li><li>
Excellent communication, presentation, storytelling, and workshop facilitation skills</li><li>
A self-starter mindset and the ability to thrive in a fast-paced, evolving environment</li></ul> 

Benefits 
 
Why join Appvia?
We are a self-funded, London-based consultancy, growing rapidly while staying true to what got us here: a human, engineering-led culture built on trust, ownership, and getting things done.
As we scale, we&rsquo;re maturing as a business and expanding into new areas across platform engineering, software, data, and AI. We&rsquo;re intentional about keeping our culture at the heart of it. We operate with a flat structure, agile ways of working, and a strong focus on collaboration, where good ideas come from anywhere and people are trusted to make an impact.
We work alongside our customers to solve complex, real-world problems: modernising systems, improving delivery, and building scalable platforms that enable long-term success.
If you want to be part of a team that values people as much as technology and gives you the space to grow while working on meaningful challenges, Appvia is the place to do it.
What&rsquo;s on offer?<ul><li>️ Work-life balance</li></ul><ul><li>
Flexible working hours - because we know life happens outside of work</li><li>
Hybrid working - outcomes focused working</li><li>
25 days&rsquo; holiday a year, plus bank holidays</li><li>
An additional day off for your birthday</li><li>
Enhanced maternity and paternity to full pay</li><li>
Workplace Nursery Benefit to help working parents</li></ul>
 For your well-being<ul><li>
Full Private Healthcare cover for you with partners and children covered 50%</li><li>
Death in Service</li><li>
Cycle to Work scheme</li><li>
Electric Car Scheme</li><li>
Pension plus a salary sacrifice option for even greater savings</li><li>
Employee Assistance Programme</li><li>
Free hygiene products available in the London office</li></ul>
 Mental health support<ul><li>
Free therapy through AXA</li><li>
Access to the Headspace App</li><li>
Trained Mental Health First Aiders</li></ul>
Other fun perks<ul><li>
Learning budget of &pound;1,000 a year</li><li>
Your own MacBook Pro while you work at Appvia</li><li>
Dog friendly office</li><li>
Wear what makes you comfortable</li><li>
Free snacks in the office</li><li>
Pool table &amp; ping pong table</li><li>
Regular team socials, board game nights, industry meetups and more!</li></ul>
But don&rsquo;t just take our word for it, you can check out what our Appvians say about us on Glassdoor and by following us on LinkedIn, Twitter and TikTok.
We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status.
Note: While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.</div>

Senior Data & AI Solutions Architect - Pre-Sales

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