Agentic architect Jobs

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Agentic Architect

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

January 26, 2026

Requirements

Master’s degree in Computer Science, Engineering, Data Science, or a related field. Ph.D. is a plus
18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies
Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments
Deep understanding of Gen AI/Agentic frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices
Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies
Excellent communication, stakeholder engagement, and team leadership skill
Exposure to industry-specific Gen AI/Agentic use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI
Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions
Proven experience in leading large-scale AI solution deployments and managing cross-functional teams

Job Responsibility

Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goal
Proven experience in developing solution across IFAO/IPO/ICO/ISCO Business Services
Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling
Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks
Oversee the seamless deployment of Gen AI/Agentic models across platforms, ensuring operational efficiency and compliance
Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability
Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines
Mentor and lead a technical team and architects fostering a culture of innovation and excellence
Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption
Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes

Agentic Architect

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

December 29, 2025

Requirements

Master’s degree in Computer Science, Engineering, Data Science, or a related field. Ph.D. is a plus
18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies
Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments
Deep understanding of Gen AI/Agentic frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices
Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies
Excellent communication, stakeholder engagement, and team leadership skill
Exposure to industry-specific Gen AI/Agentic use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI
Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions
Proven experience in leading large-scale AI solution deployments and managing cross-functional teams

Job Responsibility

Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goal
Proven experience in developing solution across IFAO/IPO/ICO/ISCO Business Services
Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling
Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks
Oversee the seamless deployment of Gen AI/Agentic models across platforms, ensuring operational efficiency and compliance
Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability
Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines
Mentor and lead a technical team and architects fostering a culture of innovation and excellence
Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption
Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes

!

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional development opportunities
Broad access to professional trainings including language courses, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card
Non-working day on the 31st of December

Fulltime

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
8+ years of experience in AI/ML architecture
2+ years focused on autonomous systems or agent-based AI
Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
Fluent proficiency in both English and Polish

Job Responsibility

Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
Establishing standards and reusability by creating architecture standards and reusable components
Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance

What we offer

Annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Professional support and knowledge sharing
Ongoing development opportunities in multinational environment
Access to professional trainings, conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits
Prepaid Lunch Card

Fulltime

GenAI Solution Architect

Bright Vision Technologies is a forward-thinking software development company de...

Location

United States , Edison

Salary:

Not provided

Bright Vision Technologies

Expiration Date

Until further notice

Requirements

Proven experience as a Solution Architect in Professional Services environments
Expertise in Business Intelligence and Data Analysis
Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Familiarity with either cloud-based analytics platforms or enterprise-scale data solutions
Understanding of project delivery frameworks and methodologies
Understanding of LLMs, RAG, and AI Agents
Basic prompt engineering
Familiarity with OpenAI API, LangChain, HuggingFace Transformers, Vector DBs (e.g., FAISS, Pinecone)
Use case validation for AI applications

Job Responsibility

Design and oversee the implementation of high-level architectural solutions
Collaborate with cross-functional teams to ensure alignment with business goals
Lead business intelligence and data analysis initiatives
Evaluate and recommend technology tools and platforms
Ensure adherence to project timelines and deliverables
Provide technical guidance and mentorship to the project team

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...

Location

United States , San Francisco

Salary:

156000.00 - 234000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices

Job Responsibility

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Fulltime

Senior Agentic AI Developer

Build production-grade autonomous agents and orchestration systems that reshape ...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering
3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques

Job Responsibility

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Senior Consultant Specialist

HSBC is seeking a Senior Consultant Specialist to design and build innovative PE...

Location

India , Hyderabad

Salary:

Not provided

HSBC

Expiration Date

December 31, 2025

Requirements

8+ years of experience in Software Engineering with PEGA CDH based platform
in-depth knowledge of integrations like SOAP, REST and other PEGA provided API
solid understanding of oracle, XML, Java and SQL
working experience on Situation Layer Cake concepts and adopted the same while defining project architecture
working knowledge in PEGA CDH, Architecture, Pega Version Upgrade, managing the parallel development
indexing, Arching & Purging, Session management, Customized logging, creating custom Guardrail, very good knowledge on PDC, Class Dependencies, Rule Dependents
conducting architecture design reviews, code walkthroughs, and performance and security reviews
good understanding on Cassandra for PEGA CDH
support/guide teams in Creation of re-usable assets, frameworks, solution packs
good understanding on PEGA CDH best practices, implementation life cycles

Job Responsibility

Design and build solutions by increasing customer satisfaction and align solutions to the business and IT Initiatives for the PEGA CDH
build solutions with an engineering mindset that not just achieve functional objectives but also cater to non-functional requirements with consistent performance that help our business to grow revenue
interact with local and global business analysts, project managers, technical architects, and developers, detailing the design and driving quality end-to-end solutions from PEGA CDH
collaborate closely with global technology teams and support functions, with regards to strategy, operating model, implementation, production support transition and project lifecycle governance
driving design, development, testing and deployment of maintainable solutions within PRPC Rules environment with PEGA CDH
bringing Pega technical expertise performing analysis of client requirements, providing solution architecture, and design
performance tuning, performance analysis, log analysis and fixing defects
designing class structures, application frameworks, and data models

What we offer

continuous professional development
flexible working
opportunities to grow
inclusive and diverse environment

Fulltime

!

Agentic architect

Randstad

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 27, 2025

Expiration:
January 26, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Agentic architect

Randstad

Location:India , Bengaluru

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 27, 2025

Expiration:January 26, 2026

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Contract Type:
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Job Posted:
December 27, 2025

Expiration:
January 26, 2026