Senior AI Solution Engineer (Customer Success Focus)

JOB DESCRIPTION

We're seeking an AI Solution Engineer to drive customer success and foster long-lasting relationships by delivering impactful AI solutions. Your role centers on guiding customers through their AI journey, ensuring Company's Product offerings align with their needs and goals. You'll balance innovation with practical impact on design, implementation, and deployment to maximize business value. With a focus on customer satisfaction, strategic project management, and a deep understanding of AI, you'll play a key role in our growth. If you're passionate about making a real difference, we want to hear from you.
About the Role:
Drive customer success by strategically managing relationships, serving as a key advocate, and aligning Company Product capabilities with their goals while proactively mitigating project risks.
Stay at the forefront of AI innovation by engaging in the design of AI systems for industrial applications, and keeping abreast of the latest trends in AI, machine learning, and data analytics.
Facilitate customer collaboration to clearly define problem statements, architect impactful solutions, translate needs into actionable tasks, and oversee project lifecycles, including roadmap planning, execution, and quality assurance.
Lead and work in tandem with cross-functional technical teams to develop and deliver solutions efficiently within set deadlines.
Equip customers with tailored technical solutions and training, enhancing the impact and value of the solutions provided.

JOB REQUIREMENT

Must-Have:
Demonstrated experience in customer success or account management within a tech setting, ideally in AI or machine learning contexts.
Outstanding skill in cultivating and sustaining customer relationships.
Proficient in project management and effective communication.
Capable of comprehending complex customer requirements and converting them into detailed, technical strategies.
Comfortable with data analysis, using insights to inform strategic decision-making.
Deep knowledge of AI technologies, with experience in AI system development, machine learning and deep learning algorithms, and deployment of AI solutions.
Great-to-Have:
Background in start-ups or dynamic tech environments.
Skilled in Python, AI/ML frameworks, and cloud services.
Proven track record in enhancing customer success and relationship expansion.
Knowledge of industrial AI applications and their specific challenges.
Education:
A Master's degree or higher in Computer Science, Computer Engineering, Physics, or another related discipline is preferred, with a specialization in AI, Machine Learning, or Data Science highly valued. However, we recognize that talent and drive can come from diverse backgrounds. Therefore, candidates with a Bachelor's degree coupled with significant, relevant experience in AI, machine learning environments, or equivalent professional achievements are also strongly encouraged to apply. Our goal is to embrace inclusivity and diversity, understanding that expertise and innovation can transcend traditional educational paths.
If you are passionate about customer success, pushing the boundaries of AI technology, possess strong technical skills, and thrive in a collaborative environment, we encourage you to apply. Join us in shaping the future of AI solutions and making a significant impact in the industry.

WHAT'S ON OFFER

Attractive compensation and benefits commensurate with experience.
Generous daily lunch allowance of $10 per day, provided to each team member.
Overseas travel opportunities for training and working related, providing exposure to international projects and collaborations.
An employee-centric culture that values the skills and abilities of our team members, providing them with the necessary tools and resources to excel in their roles and advance in their careers.
A collaborative work environment that fosters teamwork, knowledge sharing, and innovation.
Flexible working hours
Fun team activities & outing

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product, AI Application Platform

Technical Skills:

AI, Python, Machine Learning

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01493

Status:

Close

Related Job:

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam

Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, optimize system performance, and tackle complex software integration challenges. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Software Engineer (Node.js) - Platform Security

Ho Chi Minh - Viet Nam

Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, strengthen system security and reliability, and tackle complex software integration challenges. Design and implement platform security controls across web applications, APIs, and cloud services, including authentication, authorization, session management, secrets management, encryption, and audit logging. Identify and remediate security risks through threat modeling, secure code reviews, automated security testing, dependency scanning, and investigation of security-related issues. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam

Product

  • AI

#Agent Engineering & operation Design, build, and maintain production-grade AI agent systems, including: context engineering and instruction architecture, prompt hardening and safe execution boundaries, tool integrations and multi-step orchestration, memory strategies and reliability patterns. Own the full agent lifecycle: prototype → evaluate → deploy → monitor → iterate. Build and maintain an evaluation pipeline to measure agent quality, catch regressions, and enforce deployment gates (golden datasets, scenario suites, automated checks). Instrument agents and agent platforms for production observability: structured logging, tracing, and metrics; latency and cost monitoring; tool-call success rates and failure analysis. Define operational readiness standards including: rollback criteria, incident response playbooks, recovery paths for common failure modes.#Team Enablement & Coaching Embed with product engineering teams to identify high-value use cases ready for agent automation. We will be operating in a Central Agent Ops role enabling Ai product builders through AI enablers. Translate business workflows into agent-executable tasks with clear: contact boundaries/interfaces, assumptions and inputs/outputs, failure modes and safe fallbacks. Deliver targeted coaching to engineers on: context engineering best practices, harness design and regression testing patterns, agent skill design and tool-contract discipline. Reduce onboarding time for teams adopting AI capabilities-from first conversation to a production-ready agent. Train product engineers to extend and maintain agent skills independently.#Standards & Knowledge operations Author and maintain org-level standards for agents, including: naming conventions, context file structures and ownership rules, skill interface contracts (inputs/outputs, invariants, error handling), evaluation criteria and release quality bars. Establish and enforce "repo-as-discipline" practices so agent knowledge is: versioned, reviewable, discoverable, reusable; not trapped in prompt snippets or individual heads. Build and grow a shared agent skills library that teams can reuse and extend. Track and aggregate AI tooling/framework updates and external best practices, serving as a central intake so product teams don't each have to follow the entire AI landscape. Run internal knowledge-sharing sessions, showcases, and retrospectives to propagate learnings efficiently.

Negotiation

View details