Tech Lead

Promaynov Advisory Services Pvt. Ltd; Delhi; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Promaynov Advisory Services Pvt. Ltd is looking for a Head of Engineering / Technical Leader to oversee AI-driven fraud detection platforms in Delhi. The role requires expertise in leading large teams, defining technical strategies, and engaging with government clients to ensure effective delivery.

The ideal candidate will have over 10 years of experience in software engineering, strong skills in AI and machine learning, and the ability to manage complex projects involving various stakeholders in public sector environments.

Qualifications

• 10+ years of experience managing large, distributed software engineering teams.
• Strong understanding of AI & Machine Learning concepts and implementations.
• Experience in technology consulting or compliance-related systems preferred.

Responsibilities

• Define and evolve technical roadmap for AI-based solutions.
• Oversee the entire solution development lifecycle.
• Engage directly with clients, explaining technical approaches.

Skills

AI & Machine Learning concepts

Leading large, distributed software engineering teams

Python

API design and integration

Statistics & Mathematics

Tools

Power BI

SQL and relational databases

Cloud technologies

Job description

Job Title – Head of Engineering / Technical Leader – AI‑Driven Fraud & Risk Solutions

Delhi (NCR)

Role involves travel to project locations across India

Experience

10+ years, with demonstrated experience managing large, distributed software engineering teams

Practice Context

The role is part of a forensic practice that partners with government clients to detect, prevent, and proactively mitigate Fraud, Waste, and Abuse (FWA) across public sector programs.

The practice focuses on building advanced algorithmic, AI/ML, LLM‑based and agentic AI solutions that work within complex government IT ecosystems and integrate with existing legacy and enterprise systems across multiple domains such as:

• Health
• Education
• Skill Development
• Social Welfare & Benefit Schemes
• Other large‑scale public sector programs

The solutions developed by this practice are mission‑critical, high‑scale, and designed to deliver measurable public value at low cost.

Role Overview

We are seeking a senior Technical Leader to own the technical vision, engineering excellence, and delivery governance of AI‑driven fraud detection and prevention platforms. This leadership role blends deep hands‑on technical expertise with architecture ownership, team leadership, program management, and client engagement. The incumbent will be responsible for taking the technical capabilities of the practice to the next level, directly enabling business growth, solution scalability, and client trust.

Key Responsibilities

Technical Strategy & Capability Building

• Define and evolve the technical roadmap for AI‑based fraud, waste, and abuse detection solutions
• Standardize and institutionalize best practices across: software development lifecycle (SDLC), coding and algorithm development standards, version control, repositories, and branching strategies, backup, security, data governance, and resilience practices
• Drive adoption and effective use of advanced AI/ML, LLMs, agentic AI, and analytical techniques within the team
• Promote frugal architecture and solution design to minimize total cost of ownership and implementation cost for government clients
• Understanding of hardware and cloud sizing

Architecture & Solution Design

• Own the end‑to‑end technical architecture of solutions, from ingestion to decisioning and reporting
• Design and review: solution architecture documents, technical design specifications, integration and deployment architectures
• Ensure scalability, performance, security, explainability, and auditability of AI/ML solutions
• Guide teams on integrating with pre‑existing government systems, platforms, and enterprise software

Engineering Delivery & Program Management

• Oversee and manage the entire solution development lifecycle, including planning and estimation, development and QA, integration and deployment, post‑deployment support and enhancements
• Ensure on‑time delivery within allocated resources
• Act as the highest technical escalation point for complex delivery challenges
• Travel to project locations to engage with delivery teams and improve quality and velocity

Integration & Data Management

• Lead solution design involving API‑based system integrations, data ingestion from multiple heterogeneous sources, data validation, reconciliation, and quality assurance
• Ensure robust integration with legacy and modern platforms commonly found in government ecosystems

Team Leadership & Talent Development

• Lead, mentor, and retain large, geographically distributed engineering teams
• Identify skill gaps and drive structured training and upskilling initiatives
• Build strong technical leaders and improve overall engineering maturity
• Foster a culture of accountability, quality, and continuous improvement

Client Engagement & Thought Leadership

• Engage directly with government clients, explain technical approaches, methodologies, and architectures
• Lead technical reviews and discussions
• Defend and explain algorithmic outputs and system decisions
• Serve as a trusted technical advisor to clients

Pre‑Sales & Business Growth

• Support pre‑sales and business development activities, including solution ideation and architecture, technical inputs for proposals and RFPs, effort estimation and feasibility assessments
• Contribute to growth of the practice by continuously enhancing technical differentiation

Key Performance Indicators (KPIs)

• Advancement of the practice’s technical and algorithmic capabilities
• Business growth enabled through stronger technical solutions
• Speed, quality, and predictability of delivery
• Effective utilization of advanced AI/ML, LLMs, agentic AI, and analytics techniques
• Retention and engagement of engineering talent
• Adoption of frugal, cost‑efficient solution designs
• Reuse, standardization, and scalability of platforms and components

Required Technical Expertise

Core Technologies

• Python
• SQL and relational databases
• Power BI / analytics and visualization platforms
• Vector databases
• Cloud

AI & Advanced Analytics

• Strong understanding of AI & Machine Learning concepts and implementations
• Large Language Models (LLMs)
• Agentic AI systems
• Practical experience applying these technologies to real‑world fraud and risk detection problems

Platforms & Engineering

• Strong experience with open‑source technology stacks
• Statistics & Mathematics
• Experience in API design and integration, data validation, reconciliation, and transformation pipelines, scalable, distributed system architectures

Leadership & Professional Skills

• Proven experience leading large, multi‑location development teams
• Strong analytical, problem‑solving, and decision‑making abilities
• Excellent communication and stakeholder management skills
• Ability to translate complex technical concepts for non‑technical audiences
• Comfort operating in complex, high‑accountability public sector environments

Preferred Background

• Experience in technology consulting, public sector systems, or large‑scale enterprise platforms
• Exposure to fraud detection, risk analytics, or compliance‑related systems would be preferred
• Experience working with international or government‑facing clients