Enterprise Architect

Hyderabad - India

Monthly Salary: Not Disclosed

Experience Required: 12years

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

About RADcube LLC

RADcube is seeking a hands-on engineering leader to serve as the VPs right-hand partner for delivery execution and enterprise architecture. This role blends people leadership DevOps/SDLC governance cross-functional collaboration and client-facing communication. You will coordinate priorities across business units keep delivery on track standardize engineering practices and produce clear architecture/infra/process diagrams that guide teams and inform executives and clients.

We are looking for a highly skilled Enterprise Architect with 8-12 years of experience to lead full-stack development initiatives. This role is ideal for technology leaders who have strong hands-on expertise in modern architectures cloud platforms and AI-based enterprise solutions.

Key Responsibilities:

Leadership & Delivery Operations

Own day-to-day engineering operations: planning sprint/release cadence risk & dependency management capacity and transparent status.
Translate strategy into quarterly roadmaps with milestones budgets and measurable outcomes; surface trade-offs early with options.
Coach tech leads; partner with HR on hiring onboarding growth plans and performance feedback.

DevOps & SDLC Governance

Define and enforce SDLC standards (branching PR/code review DoR/DoD test strategy peer reviews).
Lead CI/CD and environments strategy; oversee release/change/incident/problem management (ITIL-aligned).
Track quality gates (automated test coverage escape rate MTTR/MTBF change failure rate) and drive continuous improvement.
Establish engineering best practices for full-stack development integration patterns reliability and scalability.

Architecture & Diagrams (Apps / Integration / Infra / Data / Process)

Design scalable enterprise solutions using cloud and microservices where appropriate.
Produce and maintain clear diagrams (Visio/Lucid/): reference architectures integration maps infra topologies data flows and process swimlanes.
Guide teams on API standards observability resilience and cost/performance trade-offs.
Ensure adherence to security privacy and compliance expectations (e.g. ISO 27001/SOC 2).
Provide architectural guidance and mentoring; review designs for cloud readiness (AWS/Azure/GCP) scalability security and availability.

Cross-Functional Coordination & Process Automation:

Align with Product PMO QA Security Data and Finance on scope sequence and success criteria.
Facilitate decision forums; convert ambiguous requirements into executable plans with owners and dates.
Optimize resource planning and leverage automation to improve cost efficiency and throughput.

Client-Facing Communication & Executive Presence

Prepare and deliver client presentations architecture reviews and executive status readouts.
Create concise briefs options analyses and RACI for major initiatives.

AI/Automation (Supportive not primary)

Where relevant help teams incorporate automation and AI to improve quality speed or costwithout making AI the jobs core.

Requirements

Ideal Candidate Profile:

712 years in software engineering/enterprise architecture or full-stack development with 3 years leading teams or engineering operations.
Proven ownership of SDLC governance & DevOps (Git workflows CI/CD environments release/change/incident management).
Strong cloud experience (Azure/AWS/GCP) and microservices/API fundamentals; comfortable reviewing and guiding code-level decisions.
Excellent communication & presentation skills; credible with clients and executives.
Advanced diagramming skills (Visio Lucidchart ) across app/infra/data/process views.
Demonstrated ability to prioritize sequence and deliver across multiple teams; vendor management a plus.
Familiarity with security/compliance practices (e.g. ISO 27001/SOC 2) and cost governance.
Track record of problem solving team leadership and mentoring; drives continuous improvement.
Nice to have

Exposure to automation/AI/RAG patterns to support teams when appropriate.
Hands-on experience with Java Python (or similar) for informed design/code reviews.

Required Skills:

Required Skills & Qualifications Bachelors or Masters in ML Engineering (preferred) or Data Science. 56 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN SVM Naive Bayes. Proven work with NLP CNNs LLMs and deep learning architectures. Experience working with cloud platforms AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework Dialogflow or OpenAI APIs. Knowledge of model versioning monitoring or MLOps practices. Bonus: Open-source contributions or AI research experience.

Required Education:

Bachelors

About RADcube LLCRADcube is seeking a hands-on engineering leader to serve as the VPs right-hand partner for delivery execution and enterprise architecture. This role blends people leadership DevOps/SDLC governance cross-functional collaboration and client-facing communication. You will coordinate p...