Founder Personal Tech Assistant

Atman Artwork; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Atman Artwork in India seeks an AI Technical Project Manager who leads cross-functional AI initiatives from discovery to delivery, translating ambitious ideas into practical, scalable solutions. They will collaborate with engineers and stakeholders, navigate complex architectures, and ensure reliable production systems while driving business value through disciplined execution.

This role requires hands-on depth, strong communication, and the ability to thrive in ambiguous environments with a

Qualifications

• Strong leadership and execution in fast-changing settings.
• Willingness to travel on-site with extended travel as required.
• Proven experience leading complex technical projects in AI/software/platform environments.
• Solid understanding of applied AI including LLMs, embeddings, and real-world use cases.
• Strong coding proficiency in Python and ability to contribute to technical discussions.
• Deep understanding of system design, distributed systems, and production performance.
• Knowledge of networking, Linux, cloud infrastructure (AWS ECS/EKS/S3/IAM).
• Excellent requirement-gathering and problem-framing skills to turn ideas into deliverables.
• Strong communication to bridge technical and business stakeholders.
• Mature decision-making and stakeholder management in ambiguous environments.

Responsibilities

• Lead end-to-end AI and software projects from discovery to rollout.
• Be on-site with the employer and travel as needed for project sites and meetings.
• Identify opportunities to apply AI across workflows and products.
• Collaborate with engineers on LLMs, retrieval systems, and real-time pipelines.
• Mentor teams, remove blockers, and drive accountability.
• Contribute to solution architecture with focus on scalability, reliability, security and cost.

Skills

Leadership

Stakeholder management

Project delivery

AI strategy

Python

Communication

Decision making

Tools

Python

AWS

Linux

Kubernetes

Job description

Role Overview

We are looking for an AI Technical Project Manager who thrives at the intersection of project leadership, applied AI, systems thinking, and hands‑on technical execution. This is far more than a coordination-focused project management role. The right candidate will be able to navigate complex technical environments, collaborate closely with engineers and stakeholders, and translate ambitious ideas into practical, well‑scoped, and high‑impact AI solutions. They will lead cross‑functional AI initiatives from concept through delivery, bringing clarity and structure to ambiguity while still encouraging experimentation and innovation. This person should be comfortable discussing product goals with stakeholders, system architecture with engineers, delivery risks with leadership, and implementation details whenever needed. Success in this role requires a rare balance of strategic thinking, requirement definition, technical depth, and team leadership, along with the adaptability, credibility, and enthusiasm needed to shape not only what gets built, but also how teams approach AI, design scalable solutions, and turn innovative concepts into reliable systems that create real business value.

What You Will Do

• Lead end‑to‑end AI and software projects from discovery to rollout, ensuring alignment on timelines, priorities, resources, and outcomes.
• Be present and available on‑site with the employer on a day‑to‑day basis, traveling as needed to support project sites, client meetings, vendor engagements, and business operations.
• Identify practical opportunities to apply AI across workflows, products, operations, and customer‑facing experiences.
• Collaborate closely with engineers and AI teams on LLMs, retrieval systems, agentic workflows, real‑time applications, and infrastructure.
• Lead, mentor, and support teams by removing blockers, delegating effectively, and driving accountability with trust.
• Contribute to solution architecture and system planning with focus on scalability, reliability, security, cost, and maintainability.

Key Responsibilities

• Lead multiple AI and technical delivery tracks simultaneously
• Define project scope, milestones, ownership, dependencies, risks, and success metrics
• Gather business needs and convert them into detailed functional and technical requirements
• Work with technical teams on AI solution planning, architecture reviews, and implementation strategy
• Support projects involving large language models, retrieval systems, embeddings, agent frameworks, and real‑time pipelines
• Coordinate across engineering, product, design, infrastructure, operations, and leadership teams
• Help establish execution frameworks for AI initiatives, including workflow design, governance, evaluation, and operational readiness
• Ensure strong documentation, alignment, and communication across project lifecycle
• Drive team accountability while maintaining a collaborative, high‑trust culture
• Anticipate project risks early and proactively develop mitigation plans
• Contribute to process improvements for managing AI‑heavy technical programs
• Stay current with emerging AI capabilities, engineering patterns, and implementation best practices

Required Qualifications

• Strong leadership ability with experience aligning stakeholders, delegating effectively, and driving execution in fast‑changing settings.
• Willingness and ability to travel frequently and work on‑site alongside the employer, including availability for extended travel based on project demands.
• Willingness and ability to travel frequently and work on‑site alongside the employer, including availability for extended travel based on project demands.
• Proven experience leading complex technical projects and managing cross‑functional teams in AI, software, or platform environments.
• Solid understanding of applied AI, including LLMs, RAG, embeddings, MCP, agentic workflows, and real‑world production use cases.
• Strong ability to evaluate emerging AI trends and turn them into practical, scalable, and business‑focused solutions.
• Strong coding proficiency in Python with the ability to contribute to technical discussions and implementation decisions.
• Deep understanding of system design, distributed systems, scalability, reliability, and performance in production environments.
• Working knowledge of networking, Linux, load balancing, DNS, and cloud infrastructure, especially AWS services such as ECS, EKS, S3, and IAM.
• Excellent requirement‑gathering and problem‑framing skills, with the ability to turn ideas into actionable plans, features, and deliverables.
• Strong communication skills with the ability to bridge technical teams and business stakeholders effectively.
• Mature decision‑making, prioritization, and stakeholder management skills, especially in ambiguous and high‑ownership environments.

Preferred Qualifications

• Experience delivering production AI systems with measurable business impact
• Exposure to real‑time applications such as streaming systems, interactive AI experiences, low‑latency services, or event‑driven architectures
• Familiarity with evaluation frameworks for LLM applications
• Experience managing teams that include AI engineers, backend engineers, DevOps engineers, and product stakeholders
• Exposure to security, governance, and compliance considerations for AI systems