Agentic AI Architect Jobs

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

New

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

New

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

AI Architect

The AI Architect is responsible for designing, developing, and integrating innov...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Master's degree or engineering diploma in Computer Science, Applied Mathematics, Artificial Intelligence, or related field
Minimum 7 years of experience in designing and deploying AI solutions in enterprise environments
Mastery of AI architectures (supervised, unsupervised models, neural networks, NLP, Computer Vision, etc.)
Expertise in leading AI tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, etc.
Expertise in major LLM vendors: OpenAI, Google Gemini, Anthropic, Meta, Mistral AI, AWS Bedrock, DeepSeek, Cohere
Expertise in developing Collaborative/Swarm of AI Agents/Agentic AI system
Experience with cloud AI platforms: Azure ML, AWS SageMaker, Google AI Platform
Strong knowledge of MLOps practices, CI/CD, and model lifecycle management
Proficiency in Python, R, SQL, and collaborative development environments (Git, Docker, Kubernetes)
Deep understanding of security, compliance (NIS2, GDPR), and AI ethics

Job Responsibility

Design and document technical architectures for AI solutions (Machine Learning, Deep Learning, NLP, Computer Vision, LLM, AI Agents, etc.) considering security, scalability, costs and performance constraints
Define and drive the AI technology roadmap in collaboration with business, IT, and innovation teams
Select appropriate technologies, frameworks, and tools (TensorFlow, PyTorch, Azure ML, AWS SageMaker, Hugging Face, LangChain/Graph, N8n)
Ensure the coherence, robustness, and maintainability of deployed solutions
Participate in solutions development
Mentor and support teams of Data Scientists, Data Engineers, and AI developers
Conduct technology watch and evaluate new AI market trends
Lead the integration of AI solutions in cloud, hybrid, or on-premise environments
Implement best practices for data governance, MLOps, and model management
Ensure compliance with security standards, regulations (GDPR, NIS2), and AI ethics

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

New

Software Engineer, AI Agents

We’re looking to add a product-minded AI engineer to the team. The ideal candida...

Location

United States

Salary:

180000.00 - 320000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Strong customer and product thinking
Ability to be highly creative with LLM applications
Ability to rapidly prototype and architect production LLM pipelines
Strong technical skills, particularly in backend architecture
Product intuition
Strong communicator
Growth mindset
Motivated and persistent in achieving goals

Job Responsibility

Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
Making key decisions about the choice of AI architecture and frameworks
Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts
Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

Fulltime

New

Business Systems Architect, AI

Figma is growing our team of passionate creatives and builders on a mission to m...

Location

United States , San Francisco; New York

Salary:

149000.00 - 260000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

10+ years of experience in enterprise systems architecture, business systems engineering, or IT strategy
Deep understanding of SaaS application ecosystems (Salesforce, NetSuite, Workday, Notion, etc) and their APIs/integration frameworks
Strong experience with AI/ML systems integration and architecture design (eg, model orchestration, embeddings, vector databases, agent frameworks)
Familiarity with MCP-like architectures or modular AI orchestration frameworks, and hands on experience working with AI platforms (like OpenAI, Anthropic, etc.)
Proven ability to design scalable internal architectures that balance innovation, usability, and compliance
Excellent cross-functional collaboration skills, being able to translate technical possibilities into business outcomes
Curiosity and pragmatism in equal measure: a passion for AI, balanced by the rigor needed to implement it responsibly in enterprise contexts

Job Responsibility

Develop a strategic roadmap for how AI features are evaluated, adopted, and managed across our internal tool stack
Lead the technical design and integration of AI-powered features within enterprise applications (e.g., Salesforce, NetSuite, Notion, Workday, etc.)
Partner with application owners to define the right use cases for AI enablement and assess ROI, risk, and compliance implications
Establish best practices for model selection, integration, and governance in partnership with IT Security and Data teams
Define architectural standards for how AI models and APIs are connected, authenticated, and monitored across systems
Co-lead the design of our internal AI MCP (Model Control Plane) matrix, defining how multiple AI models (LLMs, RAG systems, copilots) interact with various internal systems
Support procurement and vendor selection by defining architectural and integration requirements for AI tools and platforms
Define lifecycle management processes for AI-enabled tools, from evaluation to deprecation, while ensuring all AI-enabled systems comply with company standards for security, privacy, and data governance

What we offer

health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement
equity to employees
sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles

Fulltime

New

Ai Software Architect

We are looking for a Software Architect with a strong focus on AI/ML to design a...

Location

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Python / expert
Generative AI (LLMs, agentic systems) / strong
Software Architecture / expert
MLOps / good
AWS Cloud Services / good

What we offer

Diversity of Domains & Businesses
Variety of technology
Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

New

Data & AI Architect

We are seeking a highly skilled and experienced Data & AI Architect to join our ...

Location

United States

Salary:

130000.00 - 170000.00 USD / Year

MojoTech

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in data engineering, with a strong focus on cloud-native solutions
Expert-level proficiency with AWS data services and best practices. AWS and Databricks certifications are a significant plus
Exceptional Python programming skills for data engineering and automation
Experience with Databricks or Apache Spark for big data processing
Experience with at least one major cloud ML platform, eg AWS Sagemaker
Advanced SQL capabilities for data manipulation, querying, and optimization
Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions)
Solid understanding of data modeling principles and pipeline design patterns
Familiarity with modern DevOps practices and CI/CD for data solutions
Excellent problem-solving skills and the ability to translate complex technical concepts into clear explanations for non-technical audiences

Job Responsibility

Design, develop, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python
Design, develop, and implement end-to-end models and AI agents, from data preprocessing to deployment and monitoring
Implement and optimize large-scale data processing solutions using modern data platforms, for example Databricks, Snowflake, AWS for various client use cases
Collaborate closely with product managers, engineers, and business stakeholders to understand data consumption requirements and deliver high-quality data products
Ensure data quality, reliability, and security throughout the data lifecycle
Apply Generative AI concepts to data platforms for integration with LLMs, RAG architectures, and their practical application in enterprise solutions
Implement CI/CD pipelines and integrate data solutions into broader DevOps practices
Provide technical leadership and mentorship within project teams

What we offer

Medical, Dental, FSA
401k with 4% match
Trust-based time off
Catered lunches when in office
5 hours a week of self-directed, non-client work
Dog Friendly Offices
Paid conference attendance/yearly education stipend
6 weeks parental leave

Fulltime

Agentic AI Architect

Robert Bosch Sp. z o.o.

Location:
Poland, Warszawa

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
September 09, 2025

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