Forward Deploy Engineer - AI Solutions

Wits Innovation Lab; Hyderabad; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Wits Innovation Lab is seeking an AI Solutions Architect to collaborate with enterprise clients, design AI-powered systems, and integrate AI platforms into existing workflows. The role emphasizes translating complex business problems into scalable AI solutions and enabling client teams through training and documentation.

Candidates should have strong programming skills (Python/Java), AI literacy, and experience with cloud platforms and API integrations.

Qualifications

• Proficient in at least one modern language (Python/Java) and solid AI/ML fundamentals.
• Experience with cloud platforms and MLOps tooling is preferred.
• Strong understanding of API design and integration for enterprise systems.
• Familiarity with SDLC and Agile methodologies.

Responsibilities

• Collaborate with enterprise clients and stakeholders to understand goals and constraints.
• Design, build, and deploy AI-driven solutions integrated with client workflows.
• Translate business problems into AI solutions focusing on automation and augmentation.
• Develop scalable AI-powered systems with reliable IT integration.
• Prototype and productionize solutions with rapid feedback loops from client teams.
• Build data connectors and pipelines for secure data flow between client systems and AI platforms.
• Provide troubleshooting, training, and enablement to client teams and document best practices.
• Influence product roadmaps with client insights from deployments.

Skills

Python

Java

AI/ML basics

LLMs

Cloud platforms

API design

SDLC

Agile

Tools

Docker

Kubernetes

Vector databases

MLOps tools

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.