Associate Principal - Architecture

Responsibilities and Scope

Evaluate market solutions and evolving platforms for AIML, assess fitment to CBRE demands, ROI analysis readiness, and develop enterprise recommendations.

Collaborate with business and technology teams in the design, prototyping and selection of AIML solutions needed to deliver business value.

Conduct continuous outside‑in scanning to facilitate continuous learning, hands‑on understanding, and adoption of AI solutions, architecture, industry standard methodologies, and techniques.

Architect and help build enterprise solutions that include components across the Artificial Intelligence spectrum such as Machine Learning, generative AI, Deep Learning, Virtual Assistants and Cognitive Services (e.g., Vision, Image, Textual Language processing).

Assist in developing roadmaps for AI, machine learning and other advanced analytics areas (e.g., NLP, NLQ, LLMs, Agentic AI, MCP, A2A, Computer Vision, ML platforms, open‑source libraries, event‑driven stream processing, data lakes).

Rapid Proof‑of‑Concept (PoC) development – independently and quickly build functional prototypes and PoCs to test new AI models, algorithms, and approaches to solve specific business problems.

Model experimentation – conduct hands‑on testing with various machine learning models, including fine‑tuning large language models (LLMs), training custom models, and evaluating their performance using appropriate metrics.

Technical validation – quickly set up and test new tools, APIs and frameworks to validate their capabilities and suitability for large‑scale implementation.

Architectural mentorship – offer support and mentorship to data science and engineering teams throughout the development, deployment and operationalization of AI models.

System integration design – facilitate the integration of AIML models into existing enterprise applications, APIs and business workflows.

• Minimum bachelor’s degree qualification with a strong quantitative background in STEM education (Science, Technology, Engineering, Mathematics). MBA preferred.
• Deep knowledge of AIML technologies across AWS, Azure and GCP.
• Understanding of cloud‑native services for data storage, compute, networking and security.
• Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis).
• Experience with data exploration, feature engineering and data preprocessing techniques.
• 5 years of hands‑on AIML solution architecture and prototyping/experimentation.
• 5 years of experience with AWS/Azure data analytics and AI services.
• 3 years of hands‑on experience with data science tools and frameworks.
• Recent experience in generative AI, large language models (LLMs), Agentic AI platforms and solutions.

• Excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.
• Ability to learn emerging technologies and apply them to tackle business problems.
• Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in AIML Ops/Engineering and cloud‑native solutions.
• Excellent written, verbal and presentation communication skills – able to describe problem statements, solution options, analysis and recommendations to mixed technical and non‑technical audiences, and ability to influence and gain consensus.
• Driven digital transformation roadmap focus – target operating models, cost reduction and performance improvement.

The range displayed reflects the minimum and maximum salary target for this position across all U.S. locations. Individual pay is determined by work location, job level and additional factors including job‑related skills, experience and relevant education or training. Other forms of compensation may also be provided (e.g., annual performance‑based bonus, sales incentive pay).

• Comprehensive Medical Plan covering medical, dental and vision.
• Short‑term and long‑term disability coverage.
• 401(k) plan with company match.
• Life Insurance.
• Vacation time, sick leave, paid holidays.
• Paid paternity and maternity leave.

LTIMindtree is an equal‑opportunity employer…