About the Role The AI Team Leader is responsible for leading Titan's AI Engineering function and driving the development of AI-powered capabilities across the Titan DMS platform. Reporting to the Engineering Manager, thi…
Skills: C#/.NET, Generative AI, LLM Integration, AI Agents, RAG
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Full-time
Posted 16d ago
~40 hrs/week
Responsibilities
Lead the AI Engineering function to develop and integrate AI-powered capabilities, including LLMs and AI Agents, into the Titan DMS platform. Define the AI roadmap, establish engineering standards, and manage the AI Engineering team's performance and growth.
Requirements
Requires at least 7 years of software engineering experience with strong proficiency in C#/.NET and modern web frameworks like React or Angular. Must have a proven track record of delivering production-ready Generative AI solutions and leading technical teams.
Full job description
About the Role
The AI Team Leader is responsible for leading Titan's AI Engineering function and driving the development of AI-powered capabilities across the Titan DMS platform.
Reporting to the Engineering Manager, this role provides technical leadership across AI architecture, Generative AI, LLM integration, AI Agents, and intelligent automation. Working closely with Product, Engineering, UX, and Business stakeholders, the AI Team Leader will define Titan's AI roadmap, establish engineering standards, and deliver scalable, secure, and production-ready AI solutions integrated into Titan's .NET ecosystem.
Key Responsibilities
Leadership & Team Management
Accountable for the successful planning, prioritisation and delivery of the AI Engineering team's work.
Provide technical leadership across AI initiatives.
Assess emerging AI technologies and industry trends to inform Titan's long-term AI strategy.
Define and maintain Titan's AI architecture to ensure scalable, secure and maintainable integration with existing platforms.
Establish AI engineering standards and development best practices.
Lead cross-functional AI initiatives that support Titan's strategic objectives.
Lead, mentor and develop the AI Engineering team.
Manage team performance, technical capability, development and resource planning.
Participate in recruitment, interviewing and onboarding of AI Engineering team members.
Promote knowledge sharing and continuous learning.
AI Product Development
Partner with Product Managers to define, prioritise and maintain Titan's AI product roadmap, ensuring initiatives are aligned to customer value, technical feasibility and commercial impact.
Evaluate and recommend AI platforms, models and tooling to optimise quality, performance and cost.
Lead the development of AI-powered capabilities across the Titan DMS platform.
Design and integrate AI solutions into existing C#/.NET and WinForms applications.
Lead the development of modern web applications using React, Angular or similar frameworks.
Drive implementation of LLMs, AI Agents, Prompt Engineering, and workflow automation.
Design RAG and knowledge retrieval solutions.
AI Strategy & Governance
Establish AI governance, evaluation frameworks, and quality standards.
Drive AI security, monitoring, observability, and continuous improvement.
Develop reusable AI components, frameworks, and reference architectures.
Ensure AI solutions comply with Titan's secure software development standards, SOC 2 Type II controls and applicable privacy requirements.
Establish policies for responsible AI development and deployment.
Manage AI-related risks including hallucination, bias, privacy and model drift.
Stakeholder Collaboration
Build strong partnerships with Product, Engineering, UX and Business stakeholders to ensure successful delivery of AI initiatives.
Translate business requirements into AI solutions.
Provide expert technical advice to Product and Engineering teams throughout solution delivery.
Financial Accountability
Contribute to AI technology planning and budget recommendations, ensuring efficient use of AI platforms and services.
Skills, Qualifications & Experience
Minimum 7 years' software engineering experience.
Strong experience with C#/.NET application development.
Strong experience with modern web applications development using React, Angular or similar frameworks.
Experience designing and delivering LLM / Generative AI solutions in production.
Experience integrating AI capabilities into enterprise or SaaS products.
Experience with AI Agents, Prompt Engineering, and RAG.
Strong understanding of REST APIs, distributed systems, and software architecture.
Experience working with AWS cloud services and designing cloud-native AI solutions.
Experience leading engineering teams or technical initiatives.
Excellent stakeholder management and English communication skills.
Preferred
Experience with Amazon Bedrock, Anthropic Claude, OpenAI API, or similar AI platforms.
Experience with AWS AI services.
Experience with vector databases and AI evaluation frameworks.
Experience with AI governance, security, and Responsible AI.
Experience building AI capabilities for SaaS products.
Key Success Measures
Successful delivery of Titan's AI roadmap and AI-powered product capabilities.
Delivery of high-quality, scalable, secure and reliable AI solutions.
Strong adoption and measurable business value from AI capabilities across Titan products.
Effective leadership, engagement and capability development of the AI Engineering team.
Continuous improvement in AI engineering standards, governance and best practices.
Related keywords
AI EngineeringGenerative AILLMAI AgentsRAGC#.NETWinFormsReactAngularAWSAmazon BedrockAnthropic ClaudeOpenAI APIVector DatabasesSOC 2 Type II
About Titan Dealer Management Solutions (Titan DMS)
Here to make the automotive and allied industries a better place for all involved.
Industry
Software Development
Company size
51-200 employees
Founded
2005
Headquarters
North Lakes, Queensland
LinkedIn followers
2,609
Titan Dealer Management Solutions Pty Ltd is a leading developer and supplier of cloud-based software solutions for automotive dealers and manufacturers. Titan DMS’s flagship product Titan; is a cloud-based Dealer Management System designed for global application.
Since 2009, Titan has been adopted by dealerships covering over 45 different automotive brands throughout Australia, Europe, South Africa, Asia, and the Middle East.
Titan is distributed throughout South Africa and Sub-Saharan Africa as MotaData through leading Automotive Software Provider, Compatible Automotive (www.compatible.co.za), and within the Middle East by local Automotive Business Solutions Specialist, Sensus (www.sensusuae.com).
More information can be found at www.titandms.com
Contact: Matthew Kroll, Managing Director
Phone: +61 7 3166 9907
Email: [email protected]
Offices: Lakes Vista Technology Park, Building 3, 2 Flinders Parade, North Lakes, Queensland 4509, AU · Suite 1/88 Walters Drive, Osborne Park, Western Australia 6017, AU · Warwick Technology Park, Unit 18, Warwick Innovation Centre, Gallows Hill, Warwick CV34 6UW, GB · 182 Le Dai Hanh Street, Ward 15, District 11, Floor 25, The Flemington Tower, Ho Chi Minh City, Ward 15, District 11 -, VN · 571 RSU Tower, Soi Sukhumvit 31, 10th Floor, Unit 4-5, Kongton-Nue, Wattana, Bangkok 10110, TH
Dealer Management Systems (DMS)HostingSaaS (software as a service)and Consulting and project managementSoftwareAutomotive
How many Data & Analytics jobs are open in Ho Chi Minh City, Vietnam right now?
There are currently 520 open data & analytics positions in Ho Chi Minh City, Vietnam listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Ho Chi Minh City, Vietnam?
Companies currently hiring include KMS Technology, Inc., Grab, Eurofins Viracor, Prudential plc, Uplive, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Ho Chi Minh City, Vietnam?
Yes — 152 of the 520 open data & analytics positions offer remote or hybrid work (26 remote, 126 hybrid).
How do I apply for Data & Analytics jobs in Ho Chi Minh City, Vietnam?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.