software architect

COMMONWEALTH SECRETARIAT

<div>The Commonwealth Secretariat is seeking to appoint a Software Architect &ndash; QA Analyst within the Debt Management Unit (DMU), part of the Economic Development, Trade and Investment Directorate (EDTI). EDTI works closely with Commonwealth member countries to strengthen economic resilience through trade and investment policy, digital connectivity, investment facilitation, and wider economic and sustainable development priorities. Its work includes technical assistance, advisory support, knowledge exchange and capacity building, delivered through in-house expertise and strategic partnerships.
The DMU delivers the Secretariat&rsquo;s debt management programme, providing member countries with an integrated package of support covering policy advice, capacity building and debt management systems. This includes strengthening institutional and legal frameworks, supporting the development and implementation of debt management strategies, and contributing to market development.
Through the Commonwealth Secretariat Debt Recording and Management System, Commonwealth Meridian, the Secretariat supports client countries to manage public debt effectively at central and state government levels, covering back, middle and front office functions. Commonwealth Meridian is currently deployed in more than 40 countries.
Reporting to the Adviser and Head &ndash; Debt Management Unit through the Adviser &amp; Team Leader (IT Systems) and working closely with business analysts, economists, debt specialists and IT professionals, the Software Architect &ndash; QA Analyst will design, implement and continuously improve quality assurance strategies, testing processes, methodologies and automation frameworks for Commonwealth Meridian. The role will help identify and resolve defects, support the delivery of high-quality software, and may also involve providing technical support to clients and contributing to capacity-building activities.
Key responsibilities include:<ul><li>
Performing API testing using Postman, RestAssured, or similar tools to validate integrations.</li><li>
Designing and implementing test automation frameworks for UI, API, and performance testing.</li><li>
Managing the complete test cycle of software development from requirements testing to user acceptance and release testing.</li><li>
Planning testing across the software development lifecycle, including defining testing objectives and quality criteria, developing testing strategies, recommending appropriate testing approaches, and ensuring effective integration between testing and development activities.</li><li>
Making recommendations on appropriate testing tools to support the improvement and automation of DMU software testing activities.</li><li>
Supporting user queries when required, including helping to prioritise, diagnose and resolve support issues.</li></ul>
To be considered for this role, you will need a Master&rsquo;s and/or Bachelor&rsquo;s degree in Computer Science, software testing or a related discipline, with a substantial component relevant to computing. You will also need at least five years&rsquo; software testing experience, including experience of developing software automation scripts using .NET, NUnit and Selenium WebDriver, as well as quality assurance experience in a structured test environment. Candidates with experience in scripting unit-level test cases using C# in the Microsoft Visual Studio environment and who have an understanding of how AI and machine learning can be applied to public debt management quality assurance functions will have an added advantage.
The Commonwealth is a voluntary association of 56 member governments and provides guidance on policymaking, technical assistance and advisory services to Commonwealth member countries. We support governments to help achieve sustainable, inclusive and equitable development.
Please apply by submitting a CV and cover letter. Covering letters should be structured to address the key criteria required in the person specification, giving clear examples.
To join us, you must be a citizen of a Commonwealth country.
The Commonwealth is a voluntary association of 56 independent and equal countries.
It is home to 2.5 billion people, and includes both advanced economies and developing countries. 33 of our members are small states, including many island nations.
Our member governments have agreed to shared goals like development, democracy and peace. Our values and principles are expressed in the Commonwealth Charter.
The Commonwealth's roots go back to the British Empire. But today any country can join the modern Commonwealth. The last two countries to join the Commonwealth were Gabon and Togo in 2022.</div>

Software Architect – QA Analyst

<div>The Commonwealth Secretariat is seeking to appoint two Software Architect &ndash; Developers within the Debt Management Unit (DMU), part of the Economic Development, Trade and Investment Directorate (EDTI). EDTI works closely with Commonwealth member countries to strengthen economic resilience through trade and investment policy, digital connectivity, investment facilitation, and wider economic and sustainable development priorities. Its work includes technical assistance, advisory support, knowledge exchange and capacity building, delivered through in-house expertise and strategic partnerships.
The DMU delivers the Secretariat&rsquo;s debt management programme, providing member countries with an integrated package of support covering policy advice, capacity building and debt management systems. This includes strengthening institutional and legal frameworks, supporting the development and implementation of debt management strategies, and contributing to market development.
Through the Commonwealth Secretariat Debt Recording and Management System, Commonwealth Meridian, the Secretariat supports client countries to manage public debt effectively at central and state government levels, covering back, middle and front office functions. Commonwealth Meridian is currently deployed in more than 40 countries.
Reporting to the Adviser and Head &ndash; Debt Management Unit through the Adviser &amp; Team Leader (IT Systems), and working closely with business analysts, economists, debt specialists and IT professionals, the Software Architect &ndash; Developer will support the development and maintenance of Commonwealth Meridian. The role will contribute to the delivery of a high-quality product that responds to user needs, supports secure and effective software development, and provides technical support to clients when required.
Key responsibilities include:<ul><li>
Supporting and enhancing the ASP.NET MVC 4 web application.</li><li>
Developing and coding assigned modules or feature sets of the software.</li><li>
Participating in peer reviews of source code and other software artefacts.</li><li>
Carrying out unit testing and integration testing of new features or modifications to the software.</li><li>
Designing, developing and implementing secure solutions to protect Commonwealth Meridian against cyber threats, including compliance with relevant security frameworks and vulnerability assessments.</li><li>
Identifying and resolving bottlenecks, fixing bugs, and implementing new features.</li><li>
Contributing to the analysis of user needs and the development of technical specifications and software component designs.</li><li>
Supporting user queries when required, including helping to prioritise, diagnose and resolve support issues.</li></ul>
To be considered for this role, you will need a Master&rsquo;s and/or Bachelor&rsquo;s degree in Computer Science or a related software development discipline, with a substantial component relevant to computing. You will also need at least five years&rsquo; financial or business software development experience, including strong experience with Azure DevOps, version control systems and cloud technology. Experience using web-based application development using Microsoft .NET Framework, C#.NET and ASP.NET and familiarity with the Visual Studio development environment is also required.
A postgraduate qualification or professional certification in software architecture, cybersecurity or a related field would be an advantage. Exposure to Scrum and Agile software development processes, knowledge of financial management systems, and experience with public debt management systems or international financial institution environments would also be desirable.
The Commonwealth is a voluntary association of 56 member governments and provides guidance on policymaking, technical assistance and advisory services to Commonwealth member countries. We support governments to help achieve sustainable, inclusive and equitable development.
Please apply by submitting a CV and cover letter. Covering letters should be structured to address the key criteria required in the person specification, giving clear examples.
To join us, you must be a citizen of a Commonwealth country.
The Commonwealth is a voluntary association of 56 independent and equal countries.
It is home to 2.5 billion people, and includes both advanced economies and developing countries. 33 of our members are small states, including many island nations.
Our member governments have agreed to shared goals like development, democracy and peace. Our values and principles are expressed in the Commonwealth Charter.
The Commonwealth's roots go back to the British Empire. But today any country can join the modern Commonwealth. The last two countries to join the Commonwealth were Gabon and Togo in 2022.</div>

Software Architect – Developer (x2 posts)

TPXimpact

<div><h3 class="jobSectionHeader">About The Role</h3>

We are looking for a Lead Software Engineer who will be responsible for the design, development, and deployment of high-quality software solutions. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs.

This role involves leading a team of engineers on high-profile projects, ensuring best practices are followed, and driving continuous improvement in software development processes. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities.

We value adaptability over specific technology expertise. While we are technology-agnostic and expect you to be too, we will fully support your development with the necessary training to master the required technologies. Our technology choices are driven by client needs, and our goal is to build highly flexible teams. 
Responsibilities
<ul>
<li>Lead the architecture, design, and development of complex software systems, ensuring they meet high standards of quality, security, and scalability.
</li><li>Manage and mentor a team of software engineers, providing technical guidance to foster professional growth.
</li><li>Ensure that coding standards, development best practices, and operational processes are consistently applied.
</li><li>Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery.
</li><li>Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications.
</li><li>Conduct regular code reviews and ensure that feedback is constructive and promotes learning within the team.
</li><li>Implement and maintain CI/CD pipelines to streamline the development and deployment process.
</li><li>Troubleshoot and resolve complex technical issues throughout the software development lifecycle.
</li><li>Stay up to date with the latest trends in software engineering, communicate complex technical concepts to non-technical stakeholders, and drive the adoption of new tools and methodologies where beneficial.
</li><li>Manage project timelines, ensuring that deliverables are completed on time and within scope.
</li><li>Contribute to bid questions &amp; early-stage hiring, e.g. CV screening or technical assessments when required
</li></ul><h3 class="jobSectionHeader">About You</h3>
Professional knowledge and experience

Essential:
<ul>
<li>Extensive experience in full-stack software engineering, including design, development, testing, and deployment.
</li><li>Some of the languages and frameworks our teams work with:
<ul><li>Java / Kotlin
</li><li>Python
</li><li>C# / .NET
</li><li>Full stack JavaScript (Express, React, Node.js etc.)
</li></ul></li><li>We expect you to have deep experience in at least one of the above; you will also be flexible and comfortable picking up what the work requires
</li><li>Strong understanding of software development methodologies such as Agile, TDD, and DevOps.
</li><li>Extensive experience writing well-tested code.
</li><li>Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform)
</li><li>Experience with CI/CD pipelines and automated testing frameworks.
</li><li>Experience with various architecture patterns, e.g. microservices and event-driven.
</li><li>Experience with containerization technologies (e.g. Docker, Kubernetes).
</li><li>Proven ability to manage and lead engineering teams to success.
</li><li>Expertise in designing scalable and secure software architectures.
</li></ul>Desirable:
<ul>
<li>Knowledge of emerging technologies like AI
</li><li>Previous relevant experience as a senior software engineer
</li><li>Leading a large multidisciplinary project
</li><li>Line management experience
</li><li>Experience in interviewing and screening candidates
</li><li>Experience responding to bid questions
</li><li>Experience working on NHS projects
</li><li>Experience working with Health API&rsquo;s
</li></ul>Skills
<ul>
<li>Software Architecture: Expertise in designing scalable, secure, and efficient software architectures, ensuring alignment with business goals.
</li><li>Cloud Platforms: Strong proficiency in cloud technologies, including architecture and deployment strategies.
</li><li>Programming and Development: Advanced knowledge of multiple programming languages and frameworks (e.g. .NET, React, Python).
</li><li>CI/CD and Automation: Implementing and maintaining continuous integration/continuous deployment pipelines to accelerate development cycles.
</li><li>Code Quality and Testing: Experience with automated testing frameworks (e.g. Jest, XUnit) and best practices for ensuring code quality.
</li><li>DevOps Practices: Expertise in DevOps, particularly around automating deployment, monitoring, and scaling applications.
</li><li>Communication: Able to confidently communicate with internal and external stakeholders at both the technical and non-technical levels. Able to present and give feedback to relevant groups. Eg demo/TDA
</li></ul>Behaviours and PACT values
<ul>
<li>Purpose: Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.
</li><li>Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost.
</li><li>Craft: Balance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.
</li><li>Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients.
</li></ul><h3 class="jobSectionHeader">About Us</h3>
<div>People-Powered Transformation</div> 
<div></div>
<div>
We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we&rsquo;re creating sustainable solutions ready for an ever-evolving world. 


At the heart of TPXimpact, we&rsquo;re collaborative and empathetic. We&rsquo;re a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That&rsquo;s why we believe in people-powered transformation. 
<div></div>

Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. 


Benefits Include:
<ul>
<li>30 days holiday + bank holidays</li>
<li>2 volunteer days for causes that you are passionate about</li>
<li>Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave</li>
<li>Life assurance</li>
<li>Employer pension contribution of 5%</li>
<li>Health cash plan</li>
<li>Personal learning and development budget</li>
<li>Employee Assistance Programme</li>
<li>Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme</li>
<li>Health assessments</li>
</ul>
</div><div>About TPXimpact - Digital Transformation 

We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities. 
By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact. 


We are committed to having a positive impact on the clients and the communities we serve. We actively encourage applications from all genders, ethnicities, disabled people, members of the LGBTQIA+ community, and those from lower socio-economic backgrounds. 


Don&rsquo;t meet 100% of the criteria? We still want to hear from you. Please let us know if you require any adjustments during the recruitment process.</div></div>

Lead Full-Stack Software Engineer

Accenture

<div>YOU ARE
As an experienced and senior AI/LLM Architect, you will play a pivotal in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems &mdash; spanning classical machine learning, generative AI, and agentic systems &mdash; ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards.
Within this scope, you will take deep ownership of one or more critical architecture domains &mdash; such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference &mdash; serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice. You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture &mdash; ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms.
A critical dimension of this is owning the design of a comprehensive AI context layer &mdash; drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content &mdash; to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery &mdash; including architecture decision records (ADRs), component and data flow diagrams, and integration specifications &mdash; and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence.
Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.
THE WORK<ul><li>
Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.</li><li>
Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.</li><li>
Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.</li><li>
Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.</li><li>
Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.</li><li>
Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.</li><li>
Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.</li><li>
Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.</li><li>
Design and implement the context layer&mdash;spanning knowledge graphs, vector search, and semantic retrieval&mdash;to create reliable, grounded RAG pipelines.</li><li>
Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.</li><li>
Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.</li><li>
Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.</li><li>
Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.</li><li>
Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.</li><li>
Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel</li><li>
Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.</li><li>
Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.</li><li>
Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).</li><li>
Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.</li><li>
Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience in designing &amp; deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.</li><li>
Experience in the Agentic, LLM and Generative AI space.</li><li>
Coding experience using Python</li><li>
Experience architecting and operationalizing LLM driven application architecture patterns.</li><li>
Expertise in coding engineering, machine learning, deep learning and NLP solutions and applications.</li><li>
Experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.</li></ul></div>

AI LLM Technology Architecture Manager

Arch Capital Group Ltd.

<div>With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Technical Guidance:<ul><li>
Provide technical guidance and leadership in the design and development of software applications using C#.</li><li>
Ensure the application of best practices in coding, testing, and maintenance.</li><li>
Stay updated with the latest developments in C# and related technologies.</li></ul>
Software Development:<ul><li>
Design, code, test, debug, and document complex applications and systems.</li><li>
Optimize and refactor existing code to improve performance and maintainability.</li><li>
Collaborate with other team members to integrate systems and solutions.</li></ul> 
Skills 
Comprehensive understanding of:<ul><li>
C#</li><li>
TDD, BDD, DDD</li><li>
Able to confidently discuss the various architectural patterns with a good understanding of trade-offs</li><li>
Experience with SQL and NoSQL DBMS</li><li>
Modern source control system (for example GitHub)</li><li>
Experience with a cloud platform (Azure/AWS)</li><li>
Event Sourcing (desirable)</li><li>
Experience with an AI platform (OpenAI), (desirable)</li></ul>
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn&rsquo;t the right fit but you&rsquo;re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch&rsquo;s Talent Acquisition team.
14101 Arch Europe Insurance Services Ltd</div>

Lead Software Developer

<div>YOU ARE
As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machine learning infrastructure that powers real-world applications. Working alongside senior architects and engineers &mdash; and increasingly leading your own workstreams &mdash; you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute to architectural decisions, and help establish best practices. This is a hands-on, ownership-driven where you apply and deepen your expertise across modern tools and platforms &mdash; including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring &mdash; while making meaningful contributions to infrastructure that enables AI-driven business outcomes.
THE WORK<ul><li>
Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.</li><li>
Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.</li><li>
Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.</li><li>
Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.</li><li>
Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.</li><li>
Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.</li><li>
Evaluate and select tools, frameworks, and platforms, making recommendations that shape the infrastructure roadmap.</li><li>
Integrate AI models and systems into existing enterprise systems, ensuring interoperability, security, and regulatory compliance.</li><li>
Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization, and driving remediation.</li><li>
Independently troubleshoot and resolve complex issues across the computational stack &mdash; hardware, networking, software, and models &mdash; and lead root-cause analysis.</li><li>
Mentor junior engineers and lead code reviews, providing technical direction and supporting their growth.</li><li>
Define and document architecture standards, processes, and procedures, and apply security, cost-efficiency, and scalability best practices across the infrastructure.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experienced with coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.</li><li>
Strong understanding of AI and machine learning as a subject.</li><li>
Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.</li><li>
Proficient in programming languages such as Python, Java, or C++.</li><li>
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).</li><li>
Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>
Excellent communication and collaboration skills.</li><li>
Experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large scale solutions.</li></ul></div>

AI Infrastructure Architecture Specialist

<div>YOU ARE
As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on &mdash; you will spend the majority of your time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures &mdash; including multi-agent orchestration, tool use, skills use, and memory systems &mdash; and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice &mdash; connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this is the production of tangible engineering and architecture deliverables. This means writing and owning software components &mdash; building, integrating, and testing AI system modules as a practitioner &mdash; alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.
THE WORK<ul><li>
Independently design, build, and deliver software components across the AI architecture &mdash; owning them end to end from design through implementation, integration, and testing as a hands-on practitioner</li><li>
Design and build AI agent architectures &mdash; including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems &mdash; making deliberate design pattern and technology choices</li><li>
Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands-on prototyping</li><li>
Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability</li><li>
Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements</li><li>
Architect and implement foundation model integrations &mdash; selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs</li><li>
Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization</li><li>
Design and build the AI context layer &mdash; including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge</li><li>
Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources</li><li>
Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs</li><li>
Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements</li><li>
Design for cost efficiency and performance &mdash; optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives</li><li>
Design, build, and validate systems against enterprise non-functional requirements &mdash; implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI</li><li>
Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable</li><li>
Build observability into systems &mdash; logging, tracing, monitoring, alerting, and cost tracking &mdash; to ensure AI solutions remain healthy, performant, and scalable in production</li><li>
Produce detailed architecture artifacts &mdash; including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams &mdash; that guide and enable broader engineering teams</li><li>
Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability</li><li>
Collaborate with cross-functional delivery teams &mdash; data engineers, ML engineers, and application developers &mdash; to translate requirements into concrete architecture decisions that meet stakeholder needs</li></ul></div>
 
<div>EDUCATION<ul><li><ul><li>Bachelor's Degree or equivalent</li></ul></li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience in designing &amp; deploying AI / ML solutions using at least one cloud vendor as an AI/ML architect.</li><li>
Recent experience in the Agentic, LLM and Generative AI space.</li><li>
Experience architecting and operationalizing LLM driven application architecture patterns.</li><li>
Experience coding and engineering, machine learning, deep learning and NLP solutions and applications. Coding experience using python</li></ul></div>

AI LLM Technology Architecture Specialist

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