to drive the design and evolution of our next-generation platform at the intersection of
data architecture, full-stack engineering, and AI agentic systems
. This role will be pivotal in shaping a scalable, secure, and intelligent architecture that powers cutting-edge data and AI solutions for enterprise clients.
You will act as both a
technical visionary
and a
hands-on leader
, guiding engineering teams across
data pipelines, distributed services, modern web stacks, and AI/LLM-driven agent frameworks
.
Key Responsibilities
Architectural Leadership
Define and evolve the overall
data and application architecture
, ensuring scalability, performance, and security.
Lead decisions on system design, APIs, integration patterns, and infrastructure strategy (cloud-native, containerized, multi-tenant SaaS).
Champion architectural best practices (microservices, event-driven design, observability, shift-left testing).
Data Architecture & Engineering
Design
data models, pipelines, and repositories
leveraging PostgreSQL, distributed data systems, and semantic/metadata layers.
Full-Stack Engineering
Provide hands-on leadership in
Python, FastAPI, React, PostgreSQL
stacks.
Guide front-end and back-end teams in building performant, intuitive, and modular applications.
Define coding standards, CI/CD workflows, and testing frameworks.
AI/Agentic Systems
Architect solutions using
LangGraph, LangChain, and LLMs
to build autonomous, context-aware agents.
Collaborate with data science teams to integrate ML/AI capabilities into workflows.
Establish guardrails, governance, and monitoring for safe AI adoption.
Cross-Functional Collaboration
Partner with product managers, engineers, and executives to align architecture with business strategy.
Mentor engineering teams and foster a culture of innovation, agility, and technical excellence.
Represent architecture decisions to clients, partners, and analysts.
Qualifications
Bachelor's or Master's in Computer Science, Engineering, or related field.
10+ years in software engineering, with 4+ years in architectural leadership roles.
Strong foundation in
data architecture
: schema design, distributed databases, data pipelines, and governance.
Proven track record in
full-stack development
: Python, FastAPI, React, PostgreSQL.
Hands-on experience with
AI/LLM stacks
(LangChain, LangGraph, vector databases, embeddings).
Solid understanding of
cloud platforms
(AWS/Azure/GCP), containerization (Docker, Kubernetes), and SaaS multi-tenancy.
Strategic thinker with the ability to translate business vision into scalable technology.
Excellent communicator able to bridge executives, clients, and engineers.
Strong leadership, mentoring, and decision-making abilities.
What We Offer
Opportunity to define and lead the
next-generation AI-native data platform
.
A collaborative, innovative environment where autonomy and ownership are valued.
Competitive compensation, benefits, and growth opportunities.
Job Type: Full-time
Pay: ?2,667,159.72 - ?4,560,276.25 per year
Benefits:
Flexible schedule
Health insurance
Life insurance
Paid sick time
Paid time off
* Work from home
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