Hyderabad, Ap Principle application agent engineer Jobs – 251 Open Jobs Today

Application SRE AI Solutions Engineer
PepsiCo —Hyderabad, Telangana
- Remote
- Azure
- Doctoral degree
- Computer Science
1d
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Accenture —Hyderabad, Telangana
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TTEC —Hyderabad, Telangana
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FINACPLUS GLOBAL SERVICES PRIVATE LIMITED —Hyderabad, Telangana
- Microsoft Access
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TensorGo Technologies —Hyderabad, Telangana
- Azure
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Cyara —Hyderabad, Telangana
- Rotational shift
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Lead Site Reliability Engineer - Observability
SimCorp A/S —Hyderabad, Telangana
- Weekend availability
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Optum —Hyderabad, Telangana
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Accenture —Hyderabad, Telangana
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GenAI Engineer
Arrow Point —Hyderabad, Telangana
- ₹2,70,00,000 - ₹3,20,00,000 a year
- Full-time
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AI Specialist
IntouchCX —Hyderabad, Telangana
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Software Engineering Advisor - HIH - Evernorth
The Cigna Group —Hyderabad District, Telangana
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- Java
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Principal Engineer - AI Applications
Teradata —Hyderabad, Telangana
- Full-time
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- Computer Science
- Java
- Databases
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Principal Graphics Engineer
Parallelz —Hyderabad, Telangana
- Remote
- Research
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- Bachelor's degree
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Warner Bros. Discovery —Hyderabad, Telangana
- JavaScript
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IND Staff Software Engineer
The Hartford —Hyderabad, Telangana
- Full-time
- Azure
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Cyara —Hyderabad, Telangana
- Hybrid work
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- AWS
- AI
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Cyara —Hyderabad, Telangana
- Rotational shift
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- DevOps
- Software development
- Agile
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Jaggaer —Hyderabad, Telangana
- Full-time
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Application SRE AI Solutions Engineer

PepsiCo -
Hyderabad, Telangana

Apply Now

Job details

1 day ago

Qualifications

TensorFlow
Image processing
Azure
Cloud architecture
Doctoral degree
Computer Science
Full-stack development
Master's degree
AWS
Quality assurance
Machine learning
Data science
AI
Communication skills
Python
SDLC

Full job description

Overview:

We are looking for a self-driven, software engineering mindset AI SRE engineer to

Defining and implementing robust architectural patterns for Machine Learning (ML) models, Large Language Models (LLMs), AI agents, computer vision solutions to help drive new shift left activities critical to apply Site Reliability Engineering (SRE) and quality assurance principles within the application design & architecture / Project roadmap that enables resilient outcomes.
Collaborate closely with PepsiCos Data and AI Architecture team to ensure these patterns align with our Data and AI Strategy and technical standards.
Apply pre-emptive approach into production minimizing business impact, via SRE-driven orchestration of connecting all components of the ecosystem diagnosing anomalies prior to user & remediating through automation & AI.

This is a critical enabler achieving a high resiliency during operations and also continuously improving through design during the software development lifecycle.

The DPA SRE Principal Engineer is integral part of the global team with its main purpose to provide a delightful customer experience for the user of the global consumer, commercial, supply chain and enablement functions in the PepsiCo digital products application portfolio of 260+ applications, enabling a full SRE Practice incident prevention / proactive resolution model.

The scope of this role is focused on the cloud architecture application full stack development, B2B pepsi connect and Direct to Customer and other S&T roadmap applications.

Ensures that PepsiCo DPA applications service performance, reliability and availability expected by our customers and internal groups.

It requires a blend of technical expertise on SRE tools, modern applications cloud architecture i.e. full stack, IT operations experience, and analytics & influence skills.

Responsibilities:

Architectural Pattern Definition: Define platform and model development patterns for ML models, LLMs, and AI agents in collaboration with the Data and AI Architecture team.
AI Observability: Establish and standardize AI observability patterns for ML, computer vision systems, LLMs, and AI agents to enable robust model monitoring, explainability, and drift detection.
Cross-Functional Collaboration: Engage with cross-functional teams (data science, engineering, operations, etc.) to standardize AI architecture practices and patterns across the enterprise.
Enterprise Alignment: Work closely with the Enterprise Architecture (EA) group to align AI/ML architecture patterns with PepsiCo's broader IT strategy and standards.
Technology Evaluation: Evaluate and recommend AI/ML frameworks, platforms, and tools to ensure best-in-class solutions are utilized within PepsiCo's AI ecosystem.
Scalability & Reliability: Ensure AI solutions are scalable, reliable, secure, and high-performing across cloud environments (Azure AWS and GCP), following cloud-native architecture best practices.
Innovation & Strategy: Stay up to date with emerging AI/ML trends and technologies, and provide strategic technical direction for future AI initiatives and capabilities.
Ensure ecosystem availability and performance in production environments, Pro-actively preventing P1, P2, potential P3s.
Engage & influence product and engineering teams during the design and development phases to embed reliability and operability into new services defining & enforce events, logging, monitoring, and observability standards across applications.
Work closely with customer-facing support teams to empower them with SRE insights and tooling.
Observe, diagnose & improve the end-2-end ecosystem performance of the Modern architected application portfolio i.e. technical “understanding of interactions" of a full stack application alongside with peer SRE team member.
Continuously optimize the L2/support operations work via AI and Agentic flows.
Be the key architect for the AI flavor and use cases in SRE orchestration platform design with inputs from Production Operations, Business usage & Product and engineering teams.
Actively engage and drive AI Ops adoption across teams

Qualifications:

Education: Masters or Ph.D. in Computer Science, AI/ML, or a related field.
Experience: 12+ years of experience in AI/ML architecture, data science, with a focus on designing and deploying enterprise-scale AI solutions.
Cloud Expertise: Strong expertise in Azure and AWS AI/ML services and cloud-native architectures for machine learning.
Advanced AI Technologies: Hands-on experience with LLMs, AI agents, Machine Learning Operations (MLOps) pipelines
AI Observability: Deep knowledge of AI observability (model monitoring, explainability, and drift detection) to ensure models remain trustworthy and effective over time.
Programming & Frameworks: Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar libraries.
Collaboration: Ability to collaborate effectively with data engineers, data scientists/AI scientists, and IT leadership to drive AI initiatives forward.
Governance & Compliance: Solid understanding of enterprise AI governance, security best practices, and compliance requirements (data privacy, model ethics, etc.).
Experience with popular AI frameworks like langchain, langgraph, crewai
Knowledge of AI ethics and responsible AI practices.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Apply Now

Refine Your Search

principle application agent engineer jobs in hyderabad, ap

Application SRE AI Solutions Engineer

Application Support Engineer

Packaged/SaaS Application Engineer

Information Security Engineer - Security Control Validation

IT Help Desk Engineer / IT Administrator / Information Security Coordinator-FP

Computer Vision Engineer

IT Support Engineer

Lead Site Reliability Engineer - Observability

Senior AI/ML Engineer

Custom Software Engineer

GenAI Engineer

AI Specialist

Software Engineering Advisor - HIH - Evernorth

Principal Engineer - AI Applications

Principal Graphics Engineer

Senior Atlassian & DevOps Operations Engineer

IND Staff Software Engineer

Sr. Data Platform Engineer

Sr. Scrum Master

Data Scientist

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