Company Description

BraneMind is a leader in applied AI, merging deep science with business automation to deliver intelligent systems that transform operations and decision-making processes. By leveraging advanced AI architectures inspired by quantum theory, BraneMind empowers businesses across industries, including healthcare, e-commerce, logistics, and financial services, to implement tailored AI solutions. Their expertise spans automating customer engagement with LLM-based assistants, optimizing workflows with machine learning and robotic process automation agents, and creating AI-powered decision systems. BraneMind is dedicated to delivering production-ready AI solutions that enable businesses to scale, grow efficiently, and harness real-time data insights for smarter operations.

Role

We are looking for a Senior Solution Architect who can lead architecture discussions, design scalable cloud-based systems, and represent BraneMind as the primary technical interface with enterprise clients.

This role is highly consultative and client-facing, especially during early engagement phases such as discovery, architecture workshops, and gap analysis.

The ideal candidate has hands-on experience designing and implementing cloud platforms, data & AI solutions, and has exposure to agent-based or AI-assisted systems.

Key Responsibility

Architecture & technical leadership

Lead solution architecture workshops with client stakeholders
Assess existing enterprise systems, data platforms, and cloud environments
Design end-to-end cloud-native architectures covering data ingestion, processing, AI/ML, and integrations
Define target-state architecture, non-functional requirements, and scalability considerations

AI & Agentic systems

Design and evaluate AI/ML-based solutions, including predictive systems and intelligent automation
Contribute to architectures involving AI agents, orchestration frameworks, and human-in-the-loop systems
Guide feasibility and design decisions for agentic AI use cases (decision agents, workflow agents, monitoring agents, etc.)

Client Engagement

Act as the primary technical point of contact during discovery and early delivery phases
Translate business requirements into technical architectures and roadmaps
Present architectural decisions and trade-offs clearly to both technical and non-technical stakeholders

Delivery Enablement

Work closely with engineering teams to ensure architectures are implementable and production-ready
Support implementation teams during initial phases and technical escalations
Contribute to solution documentation, architecture diagrams, and technical proposals

Core Experience

8-12+ years of experience in solution architecture, cloud architecture, or technical leadership roles
Strong hands-on experience with cloud platforms (AWS / Azure / GCP)
Experience designing data platforms (data lakes, streaming, analytics, batch & real-time pipelines)

AI & Data

Solid understanding of machine learning systems, model lifecycle, and production deployment
Experience designing systems involving AI-driven decisioning, automation, or analytics
Familiarity with LLMs, AI agents, orchestration patterns, or intelligent workflows (practical exposure preferred)

Technical Skills

Cloud-native architectures (microservices, APIs, event-driven systems)
Data processing frameworks (Spark, Databricks, cloud-native equivalents)
Security, scalability, monitoring, and enterprise integration patterns
Ability to create clear architecture diagrams and design documents

Consulting & Communication

Strong client-facing experience
Ability to explain complex technical concepts to senior business stakeholders
Comfortable leading workshops, whiteboarding sessions, and architecture reviews

Good to have

Experience working with enterprise project management systems (Primavera, ERP, or similar large-scale platforms)
Prior consulting or system integration background
Experience with multi-agent systems or AI-assisted orchestration frameworks
Exposure to regulated or large-enterprise environments

Why Join BraneMind

Work on high-impact, architecture-first AI initiatives
Shape solutions from problem definition to system design
Collaborate with senior professionals across data, AI, and operations
Be part of building a serious, enterprise-focused AI consulting practice

Qualifications

Proficiency in Solution Architecture, with expertise in designing and implementing robust and scalable systems.
Strong Consulting skills, including the ability to engage with clients to identify requirements and recommend tailored solutions.
Experience in Software Development for enterprise-level applications.
Knowledge of Integration frameworks and techniques for seamless system interoperability.
Understanding of Business Process optimization and automation using AI-driven technologies.
Excellent communication, collaboration, and problem-solving skills.
Experience with cloud platforms and modern AI technologies is highly desirable.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Tech Lead/Architect

Java Lead / Architect

Cloud Architect Lead

Lead Data Architect - Data Architecture, Data Modeling, Erwin

Lead Solutions Architect - Cloud, AI & Agentic Systems