Forward Deploy Engineer, AI Solutions - Lead

Zohorecruit; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Algoleap Technologies Pvt Ltd in Hyderabad is seeking a Forward Deploy Engineer, AI Solutions - Lead to collaborate with enterprise clients and internal teams. You will design and deploy AI-driven solutions integrated into client systems and workflows.

Responsibilities include building robust AI architectures, prototyping, and leading pilot deployments. Strong programming, cloud, and API integration skills are essential for this customer-facing role.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 5-8 years of progressive experience in software/data/ML roles.
• Experience in customer-facing, consulting, or implementation capacity is desirable.

Responsibilities

• Collaborate with enterprise clients and stakeholders to understand goals, workflows, and data landscapes.
• Design, build, and deploy AI-driven solutions integrated into client systems.
• Translate complex problems into viable AI solutions leveraging LLMs and multi-agent systems.
• Prototype and productionize AI solutions, leading pilot deployments and full-scale implementations.

Skills

Python

Java

AI/ML fundamentals

Cloud platforms

APIs integration

SDLC & Agile

Education

Bachelor's degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Salesforce

ServiceNow

Job description

Algoleap Technologies Pvt Ltd | Full time

Forward Deploy Engineer, AI Solutions - Lead

• Collaborate directly with enterpriseclients and internal stakeholders to deeply understand business goals,operational workflows, data landscapes, and technical constraints.
• Design, build, and deploy AI-drivensolutions, integrating core AI platforms into customer systems and workflows.
• Translate complex business problems intoviable AI solutions, focusing on where AI agents can augment or replace manualprocesses.
• Develop and maintain robust, scalableAI-powered systems, ensuring efficiency, reliability, and seamless integrationwith existing IT frameworks.
• Implement multi-agent systems andadvanced AI solutions, utilizing techniques such as prompting, memorymanagement, tool usage, and behaviour planning with Large Language Models(LLMs).
• Rapidly prototype and productionizesolutions, working with client teams to whiteboard concepts, build prototypes,and iterate quickly based on feedback.
• Build connectors and data pipelines forsecure 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, andenablement to client business and operations teams, fostering self-sufficiencyand adoption of AI tools.
• Serve as a critical feedback loop tointernal product and engineering teams, influencing the roadmap based oncustomer insights and real-world deployment challenges.
• Lead the technical delivery of pilotprojects and full-scale implementations, ensuring on-time delivery andadherence to performance metrics.

To performthis job successfully, an individual must be able to perform each essentialduty satisfactorily. The requirements listed below are representative of theknowledge, skill, and/or ability required.

EDUCATIONand EXPERIENCE

• Bachelor's degree in Computer Science,Engineering, or a related technical field.
• 5-8 years of progressive experience insoftware engineering, data engineering, applied Machine Learning, or a similartechnical role.
• Experience in a customer-facing,consulting, or implementation capacity is highly desirable.

TECHNICALSKILLS

• Strong Programming Language Proficiency:Expert-level skills in at least one modern programming language (e.g., Python,Java).
• Strong AI Literacy: Demonstrableunderstanding 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 andintegration for AI services and enterprise systems (e.g., Salesforce,ServiceNow).
• Solid understanding of softwaredevelopment lifecycle (SDLC) best practices and agile methodologies.

GOOD TOHAVE

• Agentic AI Hands-on Experience: Practicalexperience in designing, building, and deploying AI agents or multi-agentsystems that exhibit autonomous, proactive, and adaptive behaviours.
• Familiarity with containerizationtechnologies (Docker, Kubernetes).
• Experience with data analytics andvisualization tools.
• Prior experience in the commercial realestate or adjacent industries.

OTHERSKILLS and ABILITIES

• Excellent written and verbalcommunication skills, with the ability to articulate complex technical conceptsto both technical and non-technical audiences.
• Strong problem-solving, analytical, andorganizational skills.
• Ability to work autonomously, managemultiple priorities, and deliver immediate value in open-ended problem environments.
• Consulting mindset with a focus onstakeholder management, rapid prototyping, and iterative delivery.
• Ability to build and maintain trustedclient relationships.