Up Ai agentic automation platform engineer Jobs – 81 Open Jobs Today

Senior AI Architect
Icreon —Noida, Uttar Pradesh
- Full-time
- Master's degree
- APIs
- Financial services
Quick apply
9d
Data Engineer
Kyndryl —Greater Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Salesforce
- SQL
- AWS
Software Development Engineer 3 - Native Android
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer science
- Computer Science
- Java
Group Technical Architect
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Salesforce
- Java
- SQL
4d
Software Development Engineer 4
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer science
- Computer Science
- Master's degree
Staff Engineer (Microsoft Power Automate)
Nagarro —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Software troubleshooting
- Master's degree
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7d
Software Engineer III- Java & AI
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- System design
Agentic Business Process Analyst
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- Customer service
- Mentoring
- AI
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3d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
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Senior DevOps + MLOps Engineer
Luxoft —Noida, Uttar Pradesh
- DevOps
- English
- AWS
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
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RPA Developer - Core
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Senior Backend Engineer- AI Agents
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- System design
- Databases
- Health insurance
Quick apply
Software Engineer III- Eng
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- System design
11d
Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
11d
Senior Devops Engineer - GCP Devops, Python, Terraform & Scripting
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
Mgr. Software Engineering
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Management
- Doctoral degree
10d
IT - Sr Systems Engineer (SFDC Business Systems Analyst)
Cadence Design Systems —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Sales
- Salesforce
Software Engineer II
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Systems Integration Specialist Advisor
NTT Ltd —Noida, Uttar Pradesh
- Azure
- AWS
- Project management
4d

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Senior AI Architect

Icreon -
Noida, Uttar Pradesh

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Job details

Full-time
9 days ago

Qualifications

CI/CD
Cloud architecture
Law
PCI
MCP
Kubernetes
Enterprise architecture
Master's degree
OS Kernels
TOGAF
Distributed systems
Continuous integration
APIs
Financial services
Kafka
Solution architecture
AI
Spring framework
Identity & access management

Full job description

Position Summary
We are seeking a Senior AI Engineer / AI Solution Architect to own the architecture and evolution of an AI-native Payments Operating System. This role will map end-to-end payment operations, identify automation opportunities and capability gaps, define the target architecture, and establish a pragmatic roadmap that delivers near-term value while enabling long-term platform modernization.
The role requires a strong combination of Payments domain knowledge, enterprise architecture, AI platform design, integration strategy, governance, and stakeholder leadership.
Key Responsibilities
Assess end-to-end Payments operations, including reconciliation, routing, settlement, reporting, controls, audit, exceptions, and incident management.
Identify manual effort, operational bottlenecks, control weaknesses, integration failures, data gaps, and architecture complexity.
Define a prioritized Payments AI and automation roadmap based on business value, risk, feasibility, scalability, and ROI.
Design the target AI-native Payments Operating System, including agent architecture, orchestration, data pipelines, model access, integration, controls, reporting, and observability.
Design an agentic Payments layer that operates alongside the current technology stack and supports gradual migration toward a future-state platform.
Define patterns for AI gateways, model selection, prompt and agent registries, RAG/knowledge services, workflow engines, human approval, and auditability.
Evaluate and simplify the existing Payments technology landscape, reducing duplication and improving interoperability.
Ensure architecture incorporates security, data governance, model risk, explainability, resilience, privacy, and regulatory controls by design.
Lead architecture reviews, proof-of-value initiatives, technical standards, reusable frameworks, and platform capability development.
Represent Payments within the AI Center of Excellence and align with enterprise AI, data, cloud, security, and governance strategies.
Communicate architecture, investment choices, risks, and roadmaps to engineering leaders, business stakeholders, risk, compliance, and executives.
Mentor engineers and provide technical leadership from discovery through production optimization.
Required Experience
10+ years of software engineering, solution architecture, enterprise architecture, or platform engineering experience.
At least 3 years designing Generative AI, LLM, machine-learning, or intelligent automation solutions.
Demonstrated experience leading architecture for enterprise-scale transformation programs.
Strong Payments or Financial Services experience, ideally involving payment processing, reconciliation, settlement, ledgers, routing, or operational controls.
Experience defining target-state architecture, transition architecture, technology roadmaps, and implementation governance.
Experience engaging senior business, engineering, risk, compliance, audit, and executive stakeholders.
Mandatory Technical and Architecture Skills
AI architecture: LLM platforms, multi-agent systems, tool calling, RAG, embeddings, vector stores, model gateways, evaluation, and guardrails.
Agent orchestration: Spring AI, LangGraph, LangChain, MCP, Semantic Kernel, AutoGen, or comparable frameworks.
Enterprise architecture: microservices, event-driven architecture, API strategy, integration platforms, domain-driven design, and distributed systems.
Payments architecture: transaction flows, reconciliation, settlement, payment routing, ledger interaction, exception handling, and audit controls.
Platform architecture: Kubernetes, cloud platforms, Kafka/event streaming, API gateways, CI/CD, observability, security, IAM, and data pipelines.
Governance: risk tiering, data classification, model risk, access control, traceability, explainability, human oversight, and audit logging.
Roadmapping: value assessment, architectural trade-offs, dependency management, phased migration, cost modeling, and ROI measurement.
Preferred / Nice-to-Have Skills
ISO 20022, SWIFT, ACH, real-time payments, card networks, merchant acquiring, payment gateways, or treasury operations.
PCI DSS, SOC 2, model risk management, responsible AI, privacy regulations, and banking control frameworks.
TOGAF, cloud architecture, security, or payments-related certifications.
Experience establishing AI Centers of Excellence, engineering standards, reference architectures, or reusable platform services.
Experience balancing legacy modernization with incremental delivery and measurable business outcomes.

EOOlNC2rtt

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ai agentic automation platform engineer jobs in up

Senior AI Architect

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IT - Sr Systems Engineer (SFDC Business Systems Analyst)

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