Generative AI Engineer

About the Company

Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking 'time to transform' due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed the adoption of the cloud, data, analytics & insights AI. Specifically, the following Trianz platforms are changing the way companies approach transformations in various disciplines:

• Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code and SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP and manage them efficiently from a single pane of glass. Visit for more information.
• Extrica Data to AI Platform: Built on the concept of 'federated or distributed data', Extrica revolutionizes how users access data anywhere in the company's ecosystems; productizes data and makes it available in a Netflix like user experience while delivering BI and AI powered insights. Visit for more.
• Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a 'future of work' digital workplace platform called Pulse. Visit .

Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success, and recognition. Some of Trianz' built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms. Most recently, Trianz and AWS have signed a strategic collaboration agreement within which the two companies will work on joint roadmaps/solutions for the cloud; AWS will buy Trianz | Concierto in bulk for AWS partners to use for migrations; AWS will also recommend Concierto to their MSPs and finally, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com) .

Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com) ). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization.

Trianz | Accelerating Digital Evolution

Leaders in Product Engineering, Data & Analytics Consulting, APPS & Experience Consulting, Hybrid Cloud Consulting, IT infrastructure services, managed services and IT security consulting.

About the Role: Gen AI / Agentic AI Architect

We are seeking a highly skilled Gen AI / Agentic AI Architect to lead the design and implementation of advanced AI solutions using Generative AI frameworks , agentic workflows , and large language models (LLMs) . This role will be responsible for architecting scalable, secure, and production-ready Gen AI systems across multiple domains, including knowledge retrieval, task automation, and conversational interfaces.

The ideal candidate should have deep experience in LLM integration , RAG pipelines , LangChain/LangGraph , prompt engineering , and cloud-native AI deployments . This individual will work closely with product, engineering, and data science teams to translate business needs into robust AI-driven architectures.

Experience : 8+ years

Responsibilities :

• Architect and design scalable, robust, and efficient generative AI systems and solutions
• Develop and implement strategies for the integration of generative AI technologies into various business processes and applications
• Lead the research and development of advanced generative AI algorithms, models, and techniques

Key Responsibilities :

• Design and architect scalable, resilient, and efficient generative AI systems
• Develop strategies for the integration of generative AI technologies into various business domains
• Lead the research and development of advanced generative AI algorithms and models
• Collaborate with cross-functional teams to identify and address technical challenges
• Ensure the alignment of generative AI systems with business requirements
• Mentor and guide junior team members in the field of generative AI
• Stay updated with the latest advancements in generative AI and their potential applications

Qualifications :

• Bachelor's or master's degree in computer science, Electrical Engineering, or a related field
• 6 to 8 years of experience in the field of artificial intelligence, with a strong focus on generative AI
• Proficient in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks
• Hands-on experience in the design and development of generative AI models and systems
• Strong understanding of machine learning algorithms, deep learning, and natural language processing