Forward Deploy Engineer - AI Solutions

Wits Innovation Lab; Dadri; On-site; INR 180,000 - 280,000; Full time

Job summary

Wits Innovation Lab seeks an AI Solutions Architect to collaborate with enterprise clients, design and deploy AI-driven systems, and translate business needs into practical AI solutions. You will couple multi-agent approaches with LLMs, embeddings, and data pipelines to ensure secure, scalable integration across client environments.

You will prototype, productionize, and iterate quickly, providing technical guidance, training, and enablement to client teams while shaping product roadmaps through

Qualifications

• Strong programming and AI literacy with experience in AI-driven solution design.
• Experience integrating AI platforms into client systems and workflows.
• Familiarity with cloud platforms and MLOps tooling.

Responsibilities

• Collaborate with enterprise clients and stakeholders to understand goals, workflows, data landscapes, and constraints.
• Design, build, and deploy AI-driven solutions integrating platforms into customer systems.
• Translate business problems into viable AI solutions and identify where AI can augment or replace manual processes.

Skills

Python

Java

AI/ML basics

LLMs

AWS

MLOps

APIs

SDLC

Agile

Tools

Docker

Kubernetes

Job description

Responsibilities

• Collaborate directly with enterprise clients and internal stakeholders to deeply understand business goals, operational workflows, data landscapes, and technical constraints.
• Design, build, and deploy AI-driven solutions, integrating core AI platforms into customer systems and workflows.
• Translate complex business problems into viable AI solutions, focusing on where AI agents can augment or replace manual processes.
• Develop and maintain robust, scalable AI-powered systems, ensuring efficiency, reliability, and seamless integration with existing IT frameworks.
• Implement multi-agent systems and advanced AI solutions, utilizing techniques such as prompting, memory management, tool usage, and behaviour planning with Large Language Models (LLMs).
• Rapidly prototype and productionize solutions, working with client teams to whiteboard concepts, build prototypes, and iterate quickly based on feedback.
• Build connectors and data pipelines for secure and efficient data flow between client systems and AI platforms.
• Act as a technical solutions expert, providing troubleshooting, analysis, and support for AI-driven architectures.
• Provide training, documentation, and enablement to client business and operations teams, fostering self-sufficiency and adoption of AI tools.
• Serve as a critical feedback loop to internal product and engineering teams, influencing the roadmap based on customer insights and real-world deployment challenges.

Technical Skills

• Strong Programming Language Proficiency: Expert-level skills in at least one modern programming language (e.g., Python, Java).
• Strong AI Literacy: Demonstrable understanding of AI/ML fundamentals, including concepts like LLMs, RAG (Retrieval Augmented Generation), embeddings, and vector databases.
• Hands-on experience with cloud platforms (AWS/GCP/Azure), including familiarity with MLOps tooling.
• Experience with API design and integration for AI services and enterprise systems (e.g., Salesforce, ServiceNow).
• Solid understanding of software development lifecycle (SDLC) best practices and agile methodologies.

Good to Have

• Agentic AI hands-on experience: Practical experience in designing, building, and deploying AI agents or multi-agent systems that exhibit autonomous, proactive, and adaptive behaviours.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with data analytics and visualization tools.
• Prior experience in the commercial real estate or adjacent industries.