About Manoj
I design and ship production AI systems for teams that need architecture depth, platform reliability, and real business execution.
AI Architect Consultant focused on multi-agent orchestration, enterprise RAG systems, FastAPI AI backends, and AI platform engineering for CTOs, startups, and enterprise AI teams.
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Profile
Over the past 10+ years, my work has evolved from shipping frontend application surfaces to owning architecture strategy across enterprise platforms, cloud, and production AI. This hands-on path allows me to bridge business goals, technical constraints, and operational reliability into one clear delivery model.
AI architecture for complex enterprise workflows including multi-agent systems, hybrid retrieval pipelines, FastAPI service backends, deployment topologies, and observability models that survive production traffic and governance pressure.
Workshops, architecture audits, and embedded advisory with engineering and leadership teams. The goal is practical: clear decisions, reduced rework, faster release confidence, and stronger technical credibility.
10+
years in Systems & AI Engineering
50+
AI architectures reviewed
AI L2
Publicis Sapient AI Engineer certification
2.8K
LinkedIn technical audience
Capabilities
As an AI systems architect and engineering leader, my role extends beyond coding pipelines. I align business parameters and operational constraints to build safe, performant, and cost-controlled AI platforms.
Designing model evaluation harnesses, safety filters, regression testing suites, and observability guardrails to guarantee LLM alignment and mitigate hallucinations.
Optimizing vector search indexing, context window compaction, model fine-tuning topologies, and semantic caching to control cloud costs and guarantee sub-50ms budgets.
Establishing solution architecture guilds, mentoring senior engineering teams, auditing vendor roadmaps, and translating abstract AI research into shipping code.
Operating Principles
These principles guide consulting and implementation work across AI advisory, platform delivery, and engineering enablement.
I start every AI system from business workflows, data boundaries, and reliability constraints. I evaluate models only after we establish architecture clarity.
I design delivery paths that address agent state, retrieval quality, latency budgets, observability, and governance from the very first iteration.
I combine product thinking with backend and infrastructure engineering, delivering robust FastAPI services, orchestration graphs, and containerized deployments.
I mentor engineers, align stakeholders on key tradeoffs, and build reusable architecture patterns so your team scales technical knowledge, not just code.
Career Journey
The AI architecture position is built on a decade of production work: product surfaces, enterprise platforms, regulated systems, cloud-native delivery, and now agentic AI infrastructure.
2023-Present
Publicis Sapient
I lead the architecture of enterprise-grade generative AI platforms using Agentic RAG, stateful LangGraph-style orchestration, hybrid retrieval, FastAPI microservices, and containerized deployment paths. I design and scale containerized AI platforms on OpenShift and NVIDIA Run:AI while mentoring engineers and driving enterprise AI adoption.
Production signal
I design production AI systems optimized for retrieval precision, structured agent state, observability, low latency, token costs, and engineering team adoption.
2022-2023
Kotak Mahindra Bank
I operated closer to core architecture and solution design, directing research and development, vendor evaluations, and high-stakes banking platform reviews for the Kotak811 digital banking platform. I led mobile application development and secured mobile integrations including UPI 2.0.
Production signal
I developed a strong judgment around regulated banking constraints, secure API design, multi-stakeholder alignment, and critical CTO-level architecture tradeoffs.
2021-2022
A.P. Moller - Maersk
I built scalable microfrontend systems using Module Federation and React/Next.js. I spearheaded early adoption of Next.js Module Federation (next-mf) and SSR, improving page load speeds by 25–30% and evolving the Anchor Design System.
Production signal
I established modular, independently deployable microfrontend strategies across distributed enterprise teams, improving code reusability.
2020-2021
Krista Software
I contributed as a founding member of the core engineering team for an AI-driven process automation platform. I built cross-platform mobile and web applications using the Ionic Framework and participated in core scalability reviews.
Production signal
I designed and scaled workflow automation interfaces, enabling rapid user adoption and earning the Krista Excellence GA Award.
2019-2020
Optiv Inc
I developed enterprise cybersecurity platforms and analytics dashboards using React, Redux, GraphQL, and Node.js. I optimized frontend builds, reducing bundle sizes, and managed Express.js backend services with MongoDB.
Production signal
I delivered secure analytics panels with strict SLA adherence for production issue diagnostics, CI/CD integrations, and GraphQL API design.
2018-2019
Hewlett Packard Enterprise
I built hybrid cloud service management interfaces for enterprise products including HPE OpenSphere and HPE GreenLake using React and Redux, collaborating closely with Golang-based distributed backend teams.
Production signal
I contributed to the open-source Grommet design system, improving usability, accessibility, and UI consistency across hybrid cloud services.
2016-2018
William O'Neil India
I joined as a founding member of the India engineering team, building Panaray, a flagship financial research and stock market analytics web platform. I designed state management patterns with Redux Saga and built Node.js BFF services.
Production signal
I established the frontend codebase and CI/CD pipelines from scratch, rendering real-time market data charts and mentoring junior engineers.
Recognition
Awards and certifications support the positioning, but the stronger signal is consistency across AI engineering, architecture, platform work, writing, and recommendations.
Publicis Sapient
Publicis Sapient
Publicis Sapient
Publicis Sapient
A.P. Moller - Maersk
Krista Software
William O'Neil India
University of Burdwan
Stack
This is not a narrow prompt-engineering profile. It spans orchestration, retrieval, backend services, frontend product surfaces, deployment, and observability.
Recommendations
LinkedIn recommendations
01 / 08
“Manoj consistently demonstrates exceptional dedication, intellectual rigor, and the ability to translate complex problems into practical, implementable solutions.”
Need a structured CV for stakeholder review or advisory proposals? View or download my full systems architecture resume dossier.
Work With Me
Bring the hard system constraint: retrieval quality, agent failure modes, latency, evaluation, deployment topology, or technical market education.