Generative AI Engineer

Job Title : GenAI Solution Architect

Location : PAN India

Tech Stack : Predictive Analysis

Job Summary

We are seeking a strategic and hands-on GenAI Solution Architect to lead the design and implementation of a digital assistant tailored for FMCG R&D functions . This role demands deep expertise in Generative AI , strong architectural thinking, and the ability to evaluate alternative solutions, justify technology choices, and anticipate edge cases in complex enterprise environments .

Key Responsibilities

Solution Design & Evaluation

Architect end-to-end GenAI solutions for R&D use cases such as formulation assistance, scientific literature summarization, and regulatory compliance .

Evaluate multiple solution approaches (e.g., fine-tuning vs. RAG , cloud-native vs. hybrid deployment ) and recommend optimal paths based on scalability, cost, and data sensitivity .

Document architectural decisions with rationale, trade-offs, and risk assessments .

Handle diverse data sources : Word, Excel, PDF, databases, audio, video, structured & unstructured data .

Provide POV on implementing use cases via Agentic AI .

Technology Stack Selection

Select and justify GenAI frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face Transformers, LangChain ) based on use case fit, latency, cost, and integration capabilities .

Recommend cloud platforms ( Azure ) and orchestration tools (e.g., Kubernetes, Airflow ) for scalable deployment.

Ensure compatibility with enterprise systems like SAP PLM, LIMS, and SharePoint .

Edge Case Handling & Robustness

Identify and address edge cases such as ambiguous queries, hallucinations, data sparsity, and multilingual inputs .

Implement fallback mechanisms, confidence scoring, and human-in-the-loop workflows .

Design monitoring and feedback loops to continuously improve model performance and reliability.

Stakeholder Engagement

Collaborate with R&D scientists, IT teams, and business leaders to align solutions with strategic goals.

Lead workshops to gather requirements, validate prototypes, and drive adoption .

Communicate complex AI concepts in business-friendly language .

Governance & Compliance

Ensure solutions adhere to data governance, privacy, and regulatory standards .

Define model auditability, explainability, and ethical AI practices .

Innovation & Capability Building

Stay current with GenAI advancements and emerging tools .

Mentor teams on prompt engineering, LLM fine-tuning, and responsible AI .

Contribute to internal knowledge bases and reusable solution assets .

Required Qualifications

10+ years in solution architecture, with 3+ years in AI / ML and 2+ years in GenAI .

Proven experience in evaluating and implementing GenAI solutions in enterprise settings .

Strong understanding of LLMs, RAG, prompt engineering, and model deployment .

Experience in FMCG, life sciences, or R&D domains preferred.

Proficiency in Python, cloud platforms, and ML frameworks .

Excellent analytical, communication, and stakeholder management skills .

Bachelor’s / Master’s in Computer Science, Engineering, or related field.

If you fine this relevant, please email me your details along with your updated CV - Jonathan.mishael@ltimindtree.com