Forward Deploy Engineer - AI Solutions

Wits Innovation Lab; Hyderabad, Gurugram District, Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Wits Innovation Lab is seeking experienced professionals to design, build, and deploy AI-powered solutions for enterprise clients. You will integrate AI platforms into client workflows, translate complex problems into actionable AI strategies, and ensure scalable, secure data pipelines.

You will prototype and productionize AI systems, collaborate with client teams, and provide training and support to enable adoption of AI tools.

Qualifications

• Proficient in Python or Java with strong AI/ML fundamentals.
• Experience integrating AI platforms into enterprise systems.
• Knowledge of cloud platforms and MLOps tooling.

Responsibilities

• Collaborate with enterprise clients and stakeholders to understand goals and constraints.
• Design, build, and deploy AI-driven solutions integrating core platforms into client workflows.
• Translate business problems into viable AI solutions focusing on automation.
• Develop scalable AI-powered systems with secure data pipelines and IT integration.
• Prototype, productionize, and iterate rapidly with client teams.
• Create connectors and data pipelines for secure data flow between systems.
• Provide troubleshooting, training, and enablement to client teams.
• Offer feedback to product/engineering to inform roadmaps based on deployments.

Skills

Python

Java

AI/ML fundamentals

LLMs

API design

SDLC & Agile

Tools

Docker

Kubernetes

REST APIs

Salesforce

ServiceNow

Job description

Essential Duties And 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.