AI Technical Lead

ABOUT TL CONSULTING At TL Consulting, we simplify modern complexity with advanced, sustainable engineering. As a proudly Australian-owned consultancy with over 15 years of experience, we empower businesses to innovate and achieve measurable outcomes through scalable, cloud-native solutions. Our 50+ consultants operate across key sectors including banking, financial services & insurance (BFSI), government, retail, education, and entertainment. This cross-industry expertise allows us to deliver customer-centric solutions that combine deep technical capability with a clear understanding of each client’s strategic vision. Our approach leverages proven, scalable blueprints tailored to your business direction- enabling accelerated outcomes, maximized ROI, and sustainable long-term adoption. We maintain strategic partnerships with organizations that share our vision for a cloud-native future. Through our collaborations with Microsoft, GitHub, and Databricks, we ensure our capabilities stay aligned with evolving best practices. These partnerships also provide access to innovation programs, co-funding opportunities, and dedicated support—helping us accelerate time-to-value for our clients. ABOUT THE ROLE The AI Technical Lead, Azure AI & Agentic Engineering leads the design, development, and delivery of AI-powered applications and agentic systems, with a strong focus on Azure AI Foundry, GitHub Copilot, and enterprise-scale LLM integration. This is a hands-on leadership role that blends deep technical expertise with delivery ownership. The role is centred on building agent-based solutions, orchestrating AI workflows, and rapidly developing PoCs and MVPs that deliver measurable business value. A key responsibility is enabling organisations to adopt agentic AI patterns by integrating large language models such as OpenAI, Claude, and Gemini into production-grade applications, developer ecosystems, and automation pipelines. The ideal candidate is a strong software engineering leader who can guide high-performing teams through the transition to AI-enabled application development and modern engineering workflows. KEY RESPONSIBILITIES Agentic AI & Application Engineering Build and deploy AI applications using Azure AI Foundry and related Azure services. Lead the design and implementation of agentic AI systems. Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data. Design and implement agent orchestration patterns. Rapidly prototype and deliver PoCs and MVPs to validate AI use cases and business value. AI Engineering & Developer Productivity Lead enterprise adoption and optimisation of GitHub Copilot and AI-assisted development practices. Embed AI into engineering workflows, including: Code generation, review, and refactoring Test automation and documentation generation Developer knowledge assistants and copilots Integrate LLMs (e.g. OpenAI, Claude, Gemini) into: Developer platforms Internal tools and automation pipelines CI/CD and DevSecOps workflows Implement Model Context Protocol (MCP) and advanced tool integration patterns where applicable. Technical Leadership & Delivery Act as technical lead across AI engineering engagements. Own solution design, architecture, and hands-on delivery of AI solutions. Guide engineering teams on best practices for: Agentic design patterns LLM integration and orchestration Scalability, performance, and reliability Ensure alignment to security, governance, and responsible AI frameworks. Provide mentorship and technical oversight to engineers and consultants. Client Engagement & Innovation Work directly with clients to shape and refine AI use cases and solution approaches. Translate business problems into agentic AI workflows and technical solutions. Lead workshops, ideation sessions, and rapid prototyping engagements. Present solution designs, demos, and PoCs to both technical and executive stakeholders. Practice Contribution Develop reusable agent frameworks, accelerators, and reference architectures. Contribute to internal IP including: Agent orchestration patterns RAG frameworks AI workflow templates Stay at the forefront of agentic AI, LLM advancements, and developer tooling. Support pre-sales activities and contribute to proposals and solution shaping. SKILLS & EXPERIENCE Education: Bachelor’s degree in computer science, Information Technology, or a related field. Experience: 7+ years of experience in software engineering, cloud engineering, or DevOps. Proven experience delivering AI/ML or LLM-based solutions in production or advanced PoC environments. Experience leading technical delivery or acting as a senior/lead engineer. Technical Skills: Strong experience in several of the following areas: Agentic AI & LLM Engineering Hands-on experience building AI agents and agentic workflows Experience with LLM platforms (e.g. OpenAI, Claude, Gemini) Prompt engineering, evaluation, and optimisation techniques Retrieval-Augmented Generation (RAG) Azure AI & Cloud Azure AI Foundry and Azure AI services Azure Functions, Logic Apps, API Management Cloud-native and microservices-based architectures Developer Productivity & DevOps GitHub and GitHub Copilot (enterprise usage and optimisation) CI/CD pipelines (GitHub Actions, Azure DevOps) AI-assisted software engineering practices Engineering & Integration Strong programming capability (Python, C#, or TypeScript) API development and integration patterns Event-driven and distributed systems design Soft Skills: Strong clients focus and ensure effective relationships are in place with key client stakeholders to deliver that service. Excellent client relationship management skills with the ability to explain complex technical concepts to non-technical stakeholders. Strong stakeholder management skills interfacing with diverse stakeholders. i.e., General Manager, Head of Architecture, Solution Architecture. Solid experience in relationship management, conflict resolution, influencing and negotiation. Must be able to work independently but also lead Consulting engagements in a highly matrixed environment (especially for short-term engagements). A team player who can liaise effectively with a diverse group of delivery teams to ensure a positive experience for the customer. Ability to manage multiple projects simultaneously and prioritize effectively in a dynamic environment. Excellent verbal and written communication skills. Preferred Qualifications: Microsoft Azure or AI certifications. Experience delivering enterprise technology consulting engagements. Experience building or deploying agent-based AI systems in enterprise environments. Experience running AI PoCs, hackathons, or innovation sprints. Experience building AI-enabled developer platforms or internal tools. Understanding of AI governance, safety, and guardrails. Experience implementing AI coding assistants at enterprise scale. Strong background in cloud platforms and DevOps ecosystems. WHY JOIN US Be part of a dynamic consultancy firm that values innovation, growth, and professional development. Lead a growing practice at the forefront of data-driven business transformation. Work with diverse, top-tier clients across multiple industries, delivering impactful solutions. Competitive salary and benefits package. Career development and growth opportunities within a rapidly expanding organization. This is a Sydney based, permanent opportunity and will be hybrid in nature. No agencies please. Candidates must have valid visa with full work rights in Australia. Visas will not be transferred or sponsored. TL Consulting Group understands the importance of fostering a diverse and inclusive workplace. We are committed to ensuring that everyone, no matter their gender, identity, sexual orientation, race, ethnicity, religion, disability, or age, has equal access to opportunities. We warmly welcome applications from all individuals, including Aboriginal and Torres Strait Islander peoples, members of the LGBTQI+ community, and individuals with disabilities.