Axium Global, established in 2002, is a UK-based MEP (M&E) and architectural design and BIM Information Technology Enabled Services (ITES) provider with an ISO 9001:2015 and ISO 27001:2022 certified Global Delivery Centre in Mumbai, India. With additional presence in the USA, Australia and UAE, our global reach allows us to provide services to customers with the added benefit of local knowledge and expertise.
Axium Global is established as one of the leading pre-construction planning services companies in the UK and India, serving the building services (MEP), retail, homebuilder, architectural and construction sectors with high-quality MEP engineering design and BIM solutions.
Job Description
The AISolutions Architect will lead the technical design andimplementation of enterprise AI solutions, including AI copilots,intelligent assistants, document intelligence platforms andAI-powered business workflows.
The rolewill define AI architecture standards, evaluate emerging AItechnologies, establish governance practices and mentor technicalteams to accelerate AI adoption across the organization.
Theposition requires a strong understanding of Large Language Models(LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AIorchestration frameworks and enterprise system integration. Theideal candidate should be a hands-on professional capable ofdesigning and delivering AI solutions while collaboratingeffectively with cross-functional teams.
Job Summary
The AISolutions Architect will be responsible for designing, developingand implementing Generative AI and Agentic AI solutions that drivebusiness transformation, operational efficiency, and innovationacross the organization. The role will bridge business requirementsand technical implementation by working closely with DataScientists, Software Development teams and business stakeholders todeliver scalable, secure and production-ready AI solutions.
KeyRoles and Responsibilities
- Designscalable Generative AI and Agentic AI solutions aligned withbusiness objectives.
- DefineAI architecture standards, design principles, andimplementation frameworks.
- Evaluateand recommend AI technologies, platforms, and tools based onbusiness needs.
Generative AIDevelopment
- Designand implement AI copilots, enterprise knowledge assistants,and document intelligence solutions.
- DevelopRetrieval-Augmented Generation (RAG) solutions usingenterprise knowledge sources.
- Buildprompt engineering, evaluation, and optimization frameworksfor AI applications.
AgenticAI Development
- Designand develop AI agents capable of autonomous taskexecution.
- Buildmulti-agent workflows and orchestration solutions.
- Integrate AI agents withenterprise applications, APIs, and business processes.
AIGovernance & Best Practices
- Establish AI developmentstandards, governance frameworks, and securityguidelines.
- EnsureAI solutions are scalable, reliable, secure, andmaintainable.
- Promotoresponsible AI practices across projects.
TechnicalLeadership
- Mentorand provide technical guidance to Data Scientists andDevelopment teams.
- Conductarchitecture and design reviews.
- Encourage knowledgesharing and AI capability development within the DigitalInnovation team.
- Collaborate with businessstakeholders to identify high-value AI use cases.
- Translate businesschallenges into AI-enabled solutions.
- Supportdigital transformation initiatives through AI-driveninnovation.
- Stayupdated on advancements in Generative AI, Agentic AI,automation, and emerging technologies.
- Evaluatenew frameworks, tools, and platforms to enhanceorganizational AI capabilities.
Qualifications andExperience Required
- Bachelor's or Master'sdegree in Computer Science, Artificial Intelligence,Information Technology, Data Science, or a relateddiscipline.
- 5 to 8years of overall software development or AI experience.
- Minimum2–3 years of hands-on experience in designing and implementing Generative AI solutions.
- Experience in developing and deploying production-ready AI applications.Experience working withcross-functional teams and enterprise software environments.
Technical Skills
- Strongproficiency in Python.
- Experience with OpenAI,Azure OpenAI, Gemini, Claude or similar LLMplatforms.
- Hands-onexperience with LangChain, LangGraph, CrewAI, LlamaIndex or equivalent AI orchestration frameworks.
- Experience implementingRetrieval-Augmented Generation (RAG) solutions.
- Knowledge of vectordatabases and embeddings.
- Experience integrating AIsolutions using REST APIs and enterpriseapplications.
- Familiarity with cloudplatforms such as AWS or Azure is desirable.
Preferred Skills
- Experience in workflow automation and enterprise integrations.
- Understanding of MLOps/LLMOps concepts.
- Knowledge of the Architecture, Engineering, Construction, and Operations(AECO) domain will be an added advantage.
- Strong analytical and problem-solving skills.
- Excellent communicationand stakeholder management abilities.
- Ability to translate business requirements into scalable AI solutions.
- Leadership and mentoringcapabilities.
- Passionfor innovation and continuous learning.
Compensation
Theselected candidate will receive competitive compensation andremuneration policies in line with qualifications and experience.Compensation will not be a constraint for the rightcandidate.
What WeOffer
- Afulfilling working environment that is respectful andethical
- Astable and progressive career opportunity
- State-of-the-artoffice infrastructure with the latest hardware and software forprofessional growth
- In-house,internationally certified training division and innovation teamfocusing on training and learning the latest tools andtrends.
- Culture ofdiscussing and implementing a planned career growth path withteam leaders
- Transparentfixed and variable compensation policies based on team andindividual performances, ensuring a productiveassociation.