AI Technical Architect

About the Company

Acronotics is a global consulting, services and a product company specialising in Hyper Automation (IPA & Low Code Process Automation), Data Science & Artificial Intelligence (AI). We design, develop and implement cognitive automation solutions by applying a combination of RPA & AI technologies such as ML, NLP, NLG for clients across industries and around the globe.

The company is headquartered in the UK and has subsidiaries in the US and India. The company's offices are in UK (London), India (Bangalore and Pune) and USA (New Jersey).

Job Title : AI Technical Architect

Brief

We are looking for an AI Technical Architect who has deep expertise in multi-agent Generative AI frameworks to design, build, and scale enterprise-grade AI solutions. The ideal candidate will architect AI systems that orchestrate multiple specialized agents (e.g., query agents, orchestration agents, forecasting agents) to deliver advanced conversational analytics, data integration, and predictive insights. The candidate should have experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as an AI Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators

This role involves working with Azure AI Foundry, OpenAI, RAG pipelines, and enterprise datasets (Structured like Power BI and unstructured like Legal contracts) to deliver solutions.

Responsibilities

Solution Architecture

• Design end-to-end architecture for multi-agent AI systems including orchestration, communication, and memory layers.
• Select and design frameworks (LangGraph, Semantic Kernel, etc.) for agent workflows and orchestration.
• Architect RAG pipelines to enable retrieval, reasoning, and response generation from structured, semi-structured, and unstructured sources.
• Design scalable, modular, and secure system architecture using microservices and modern design patterns.
• Create high-level product specifications, architecture diagrams, and technical documentation.
• Provide architectural blueprints, guidance, and technical leadership to development teams.
• Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps.
• Ensure robust CI / CD and DevSecOps practices in place to streamline deployments and enforce compliance.
• Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices.
• Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones.

AI / LLM Engineering

Data Integration & Analytics

Enterprise Readiness

Requirements