Talantix.io
Remote Position•11.03.26
AI SCORE 8.5

Technical Client Systems Lead - Freelance Remote Position

$80K–$120K/year
RemoteAI Systems
AI Systems•SaaS•Cloud Infrastructure•DevOps•Agile Methodologies•API Integration•J2EE•SQL

About the Role

We are seeking a Technical Client Systems Lead - Freelance Remote to join our innovative team. In this role, you will be responsible for leading client-facing technical projects, ensuring seamless communication between technical teams and clients. As a Technical Client Systems Lead, you will work remotely, allowing you to balance your professional and personal life effectively.

What You'll Do

  • Lead and manage client systems projects, ensuring timely delivery and high-quality outcomes.
  • Collaborate with cross-functional teams to define technical requirements and project scope.
  • Provide expert guidance on system architecture and integration of AI systems.
  • Engage with clients to understand their needs and provide tailored solutions.
  • Oversee the implementation of automation and QA processes to enhance system performance.

Requirements

  • 3-5 years of experience in a technical client-facing role.
  • Strong understanding of AI systems, SaaS, and cloud infrastructure.
  • Proficiency in communication skills to liaise effectively with clients and technical teams.
  • Experience with Agile methodologies and DevOps practices.
  • Familiarity with API integration and system analysis.

Nice to Have

  • Experience with ServiceNow and claims adjudication systems.
  • Knowledge of J2EE, Oracle PL/SQL, and SQL.
  • Background in software development and testing.

What We Offer

  • Flexible work schedule to accommodate your lifestyle.
  • Access to advanced training opportunities to enhance your skills.
  • Engagement in cutting-edge projects that push the boundaries of technology.
  • Competitive income based on your experience and expertise.
  • Collaboration with a diverse and talented team in a fully remote environment.
  • Gradual onboarding process to ensure your success in the role.
Why This Job8.5 of 10

This role offers a unique opportunity to lead technical projects in a fully remote setting, providing flexibility and competitive compensation.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in cloud infrastructure technologies such as AWS or Azure, with hands-on experience in deploying AI systems and managing SaaS applications to ensure optimal client solutions.

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Demonstrates a strong understanding of Agile methodologies, with the ability to adapt to changing project requirements while managing multiple client projects in a remote setting.

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Possesses a strategic mindset with a solid foundation in API integration and J2EE, capable of translating complex technical concepts into actionable insights for clients and ensuring seamless communication between technical teams and stakeholders.

Learning Resources

→AI for Everyonecourse
→Cloud Infrastructure for Beginnersarticle
→DevOps Foundations: DevOps and Site Reliability Engineeringcourse

Career Path

Technical Client Systems Lead - Freelance Remote(Now)→Client Solutions Architect(1-2 years)→Director of Client Technology Solutions(3-5 years)

Market Overview

Market Size 2024
$150B
Annual Growth
22.5%
AI Adoption
75%
Investment in AI Systems
+40%
Labour Demand for AI Roles
+30%
Avg Salary for Technical Client Systems Lead
$120K

Skills & Requirements

Required
AI SystemsSaaSCloud Infrastructure
Growing in Demand
Machine LearningData EngineeringCloud Security
Declining
J2EESQL Server 2008

Domain Trends

Increased Demand for AI Integration
Companies are increasingly integrating AI into their SaaS products, with 65% of firms reporting plans to incorporate AI capabilities into their offerings by 2025.
Shift Towards Serverless Architectures
The adoption of serverless computing is on the rise, with a projected growth of 30% annually as organizations seek to enhance scalability and reduce costs.
Focus on AI Ethics and Governance
As AI systems become more prevalent, 58% of organizations are prioritizing ethical considerations and governance frameworks to ensure responsible AI use.

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