01
TRPD-26-05580
AI Architect (Agentic AI / LLM Architecture)
AI Architect to define enterprise AI/GenAI architecture and reference patterns for agentic AI solutions, with a strong focus on secure, scalable, audit-ready multi-agent systems integrated into commercial banking platforms. The role covers end-to-end AI architecture (data ingestion to inference and feedback loops), API/event-driven integration, MLOps/LLMOps, and cloud/hybrid deployment—preferably on Google Cloud—while enforcing governance, IAM/zero-trust, observability, and risk controls in regulated financial services.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 12 years and Maximum 18 years
Role overview
Why This Role Matters.
AI Architect to define enterprise AI/GenAI architecture and reference patterns for agentic AI solutions, with a strong focus on secure, scalable, audit-ready multi-agent systems integrated into commercial banking platforms. The role covers end-to-end AI architecture (data ingestion to inference and feedback loops), API/event-driven integration, MLOps/LLMOps, and cloud/hybrid deployment—preferably on Google Cloud—while enforcing governance, IAM/zero-trust, observability, and risk controls in regulated financial services.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments.
03
Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops.
04
Establish integration patterns (APIs, events, microservices) to embed model‑powered capabilities into existing platforms with clear service boundaries.
05
Define enterprise-wide AI architecture guidelines, reusable components, and long-term roadmap to ensure consistency and acceleration of AI initiatives.
06
Implement MLOps/LLMOps pipelines for versioning, CI/CD, approvals, and controlled promotion across environments; enforce reproducibility.
07
Work closely with product owners, data scientists, engineers, security teams, and business stakeholders to ensure architecture translates into high‑value solutions.
08
Enforce IAM least‑privilege with IAM Conditions, organisation policies, and scoped service accounts; integrate BeyondCorp for zero‑trust access.
09
Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts.
10
Architect APIs, microservices, and integration patterns that embed AI capabilities seamlessly into existing workflows and digital products
11
Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).
12
Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Agentic AI
Required
02
Multi-agent orchestration
Required
03
Planner-executor
Required
04
Supervisor-worker
Required
05
Tool-using agents
Required
06
LangGraph
Required
07
Google ADK
Required
08
MCP
Required
09
A2A patterns
Required
10
LLM
Required
11
Generative AI
Required
12
Prompt engineering
Required
13
Function calling
Required
14
Tool calling
Required
15
Agent memory
Required
16
RAG
Required
17
Vector database
Required
18
Embeddings
Required
19
Guardrails
Required
20
API-first
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Enterprise AI architecture vision, reference architectures, and reusable patterns
Agentic AI architecture using multi-agent orchestration patterns (planner-executor, supervisor-worker, tool-using agents)
Hands-on experience with agentic frameworks/orchestrators (e.g., LangGraph, Google ADK, MCP, A2A patterns)
LLMs and generative AI fundamentals; prompt engineering; tool/function calling; memory management
RAG patterns, embeddings, and vector databases; prompt/guardrail engineering
Secure, scalable AI solution design across ingestion, feature engineering, training, inference, and feedback loops
API-first integration; event-driven architectures; microservices integration patterns
MLOps/LLMOps pipelines (versioning, CI/CD, approvals, controlled promotion, reproducibility)
Audit-ready design: tool usage logs, decision provenance, and traceability for agent interactions
Cloud experience on Google Cloud Platform (preferred) or equivalent hyperscaler
Preferred
Nice to Have
Production-grade agentic AI applications with end-to-end security, governance, and performance management
AgentOps/LLMOps observability and telemetry dashboards/alerts
Regulated financial services experience; commercial/retail banking process knowledge (lending, payments, compliance)
AI risk controls, model governance, auditability; alignment with FCA/PRA, data privacy, model risk management, internal policies
Scalable real-time, batch, and streaming inference architecture with performance/reliability requirements
Secure cloud patterns: IAM, VPC design, data protection; zero-trust approaches (BeyondCorp)
Hands-on cloud AI platform services on GCP
Ability to deliver proof-of-value with hands-on coding in a 30/60/90-day plan
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
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