Business Development - AI Agent Solutions Job at New Ocean IS (Ho Chi Minh)

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

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

Principal Developer Solutions Consultant

At Atlassian, we are on a mission to unleash the potential of every team. We are...

Location

Australia , Sydney; Brisbane

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience in developing applications using Atlassian Forge or similar platforms
proven track record of delivering complex AI solutions
deep understanding of AI concepts, including natural language processing, machine learning, data analytics, and prompt engineering to garner consistent results from AI solutions
proficiency in programming languages such as JavaScript, TypeScript, or Python
strong experience with API integration and cloud services
exceptional problem-solving skills and willingness to solve ambiguous and complex problems, as well as the ability to navigate through uncertain situations, break down complex challenges into manageable components, and develop innovative solutions for our customers
familiarity with piloting approaches to make fast progress and ultimately designing for scale across a global field organization
oriented for testing approaches directly with customers with a keen appreciation for customer problems
excellent communication skills, both written and verbal, with the ability to convey technical concepts to diverse audiences
demonstrated leadership abilities, with experience in project management and team mentorship.

Job Responsibility

Lead the solution design and architecture of complex AI solutions using the Forge platform
define the technical roadmap and ensure alignment with business objectives
develop and deploy sophisticated Rovo agents tailored to specific client needs
act as a trusted advisor to clients and internal teams, providing expert guidance on AI integration, best practices, and innovative solutions
customize and extend Rovo agents to perform specialized tasks, integrate with third-party APIs, and utilize advanced Forge features
oversee the end-to-end project lifecycle, from requirements gathering and solution design to development, testing, and deployment
work closely with cross-functional teams, including product managers, designers, and other developers, to ensure successful project delivery
mentor and guide junior developers, fostering a culture of continuous learning and improvement
stay abreast of the latest advancements in AI and Forge development, and proactively explore new opportunities to enhance solutions
spend up to 30% of time traveling domestically and internationally for both internal and customer-facing events.

What we offer

Health coverage
paid volunteer days
wellness resources.

Fulltime

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang, with the ability to write clean, efficient code
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada

Fulltime

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States

Salary:

150000.00 - 250000.00 USD / Year

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO
Paid parental leave for all new parents welcoming a new child
Retirement savings plan
Remote work setup budget
Monthly wellness and communication stipend
In-office meal program and commuter benefits provided for onsite employees
Equity

Fulltime

Agentforce Specialist - AI Solutions

We are looking for an Agentforce Specialist to join our team and contribute to t...

Location

Italy , Assago

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Minimum of 6 months hands-on experience with Agentforce
solid background as a Salesforce Developer is essential, with practical experience in Apex, LWC, and Salesforce Flow
technical skills required: Agentic AI Gen, Salesforce CRM, Salesforce Service Cloud, Salesforce Agentforce, Salesforce Data Cloud, Apex, LWC (Lightning Web Components), Salesforce Flow
degree in a STEM field
good command of the English language
strong communication and collaboration skills
problem-solving mindset, sense of responsibility, autonomy, and a team-oriented approach

Job Responsibility

Designing, developing, and deploying Agentforce-based solutions
creating agents, flows, topics, and actions
using the Agent Builder to manage and deliver Agentic AI solutions
creating and managing prompts in Prompt Builder aligned with Agentic AI and Einstein Generative AI best practices
leveraging SKU Agentforce for Service to support Customer Care and ticket management
developing and integrating agents into external websites
working with structured and unstructured data in Salesforce Data Cloud
leading the technical aspects of AI projects and mentoring junior team members
collaborating with developers and business analysts to understand AI requirements

What we offer

Opportunity to work in a dynamic environment
work on national and international projects
continuously expand knowledge and develop skills
smart-working agreement according to company policy
availability to travel nationally and internationally required

Fulltime

AI Solution Architect

Andersen is hiring an AI Solution Architect in Germany to design and integrate s...

Location

Germany

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience in software engineering for 10+ years with at least 3-4 years in AI/ML solution design
Strong expertise in designing LLM/GenAI architectures, including model selection, serving, orchestration and scaling
Practical experience with Python and modern AI frameworks (PyTorch, TensorFlow, JAX)
Deep understanding of transformer models, embeddings, vector search and RAG architectures
Experience designing agent-based systems and AI orchestration frameworks (LangGraph, LangChain, AutoGen or equivalents)
Hands-on experience with MLOps practices, model lifecycle management, versioning and monitoring
Knowledge of vector databases (FAISS, Milvus, Pinecone, Chroma) and search optimization techniques
Experience designing high-availability AI inference services using vLLM, Triton, TensorRT or similar serving technologies
Solid understanding of cloud environments for AI workloads (AWS/GCP/Azure), GPU/accelerator usage and cost optimization
Ability to translate business requirements into AI solution architectures, integration patterns and technical specifications

Job Responsibility

Defining the overall architecture and technical strategy for AI/GenAI systems, ensuring scalability, robustness and alignment with organizational standards
Selecting appropriate models, frameworks, serving stacks and infrastructure components for AI workloads
Designing end-to-end RAG, vector search and agent-based AI solutions, including data flows, orchestration logic and system boundaries
Overseeing model lifecycle processes: training, fine-tuning, evaluation, deployment, monitoring and continuous improvement
Providing architectural guidance to development teams and ensuring consistent implementation across projects
Preparing architectural documentation, diagrams, guidelines and decision records
Collaborating with security, data, infrastructure and product teams to ensure compliance, reliability and performance
Evaluating new AI technologies, tools and frameworks and assessing their relevance for the organization's ecosystem
Reviewing complex incidents, performance issues and design flaws, providing direction for remediation and optimization
Supporting procurement and vendor evaluation for AI platforms, hosting, data systems or model providers

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant
Guarantee of professional, financial, and career growth
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses

Business Development - AI Agent Solutions

New Ocean IS

Location:
Vietnam , Ho Chi Minh

Category:
Sales

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 04, 2026

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