At a Glance
- Tasks: Transform business challenges into innovative agent solutions using Python and cutting-edge tech.
- Company: Join HCLTech, a global leader in technology with a vibrant culture.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Be part of a dynamic team with excellent career advancement potential.
- Why this job: Make a real impact by developing autonomous systems that revolutionise business processes.
- Qualifications: Strong Python skills and experience with agent development kits are essential.
The predicted salary is between 60000 - 80000 £ per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products.
We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
About the rol e As an Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast.
- Your deliverable is
- Business
- Transformation
Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows.
You own each agent end to end -conceptualize, build, integrate, evaluate, deploy, and sustain - and you lead a small team to do the same.
You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables
. Technology manda te Language : Python preferab le Frameworks : Agent Development Kits (ADKs) ; e. g.
Google ADK, Lang Graph, Crew AI, Open AI Agents SDK, AWS Bedrock Agent Core, Microsoft Agent Framework / Semantic Kernel.
Framework choice follows the engagement; the discipline is the sam e. Models : Multi-LLM via the kit (e. g. Claude on Bedrock, Gemini, Azure Open AI), selected per use case for quality, latency and cos t. Interfaces : Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client system s. What you'll
- do Conceptualize fas t: embed with stakeholders, frame a business process as an agentic solution, and stand up a working agent prototype in days, not wee
- ks.
Build Business Transformation Agent s: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable R
OI. Own efficiency as the scorecar d: drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-ser
- ve.
Engineer the agent cor e: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestrati
- on. Integrate to standard s: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authenticati
- on.
Make reusability and predictability the defaul t: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatab
- le. Prototype and iterate quickl y: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Pyth
- on. Run eval-driven developmen t: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything shi
- ps. Own Agent Ops / Dev Sec Op s: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day o
- ne. Run a continuous, adaptable feedback loo p: feed production telemetry, evals and client feedback back into prompts, context and agent desi
- gn. Stay ahead of the curv e: adopt evolving agent frameworks and patterns quickly, and bring field learnings back to the practi
- ce. Lead and mento r: set technical direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capabili ty. What you'll bring (must-ha
- ve)Strong Python engineering
; idiomatic, typed, tested and packaged code; on a foundation of solid software engineering principles (design, version control, architectur
- e).
Hands-on agent buildi ng with at least one agent development kit (Google ADK, Lang Graph, Crew AI, Open AI Agents SDK, AWS Bedrock Agent Core or Microsoft Agent Framework / Semantic Kerne
- l). Solid command of agent engineerin g: prompt engineering, context engineering, prompt caching, RAG / context graphs, tool / function calling, MCP, and multi-agent orchestrati
- on. Eval-driven developmen t: designing evaluation harnesses and measuring agent quality, safety and reliabili
- ty. Standards-based integration and Dev Sec Op s: APIs, secure auth, CI/CD, observability and Agent O
- ps. Ability to conceptualize a business problem as an agent quickl y, and operate effectively in ambiguous, customer-embedded settin
- gs. Client-facing maturit y: translates fluidly between technical and non-technical stakeholders, and owns outcom
- es. Experience mentoring or leadi ng small engineering tea ms. What great looks like (strongly preferr
- ed)Fluency across multiple AD Ks and the judgment to pick the right one per engageme
- nt. Deploying agents to managed runtim es at enterprise scale (e. g. Vertex AI Agent Engine, Bedrock Agent Core) with governance and cost contr
- ol. Domain dep th in a transformation area - finance operations, supply chain, HR, claims or complian
- ce. Experience with an enterprise agent platform, including Responsible AI and governance at sca
- le. A track record of turning agents into reusable accelerato rs or IP adopted beyond a single engageme nt.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic Forward Deployed Engineer in Slough
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at HCLTech or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to HCLTech.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like HCLTech.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like HCLTech that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agentic Forward Deployed Engineer in Slough
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at HCLTech.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HCLTech and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at HCLTech
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If HCLTech uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
