Senior AI Software Architect / Lead AI Platform Engineer

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US . We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India . Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title: Senior AI Software Architect / Lead AI Platform Engineer




Remote




12 Months




Rate : 90$ to 95$ per hour on W2

Position Overview:

We are seeking a highly experienced Senior AI Software Architect to lead the design, development, and implementation of next-generation AI platforms and intelligent systems. This individual will be responsible for architecting scalable software solutions, developing AI-enabled applications, and integrating enterprise data platforms to support advanced AI and machine learning initiatives. Candidates must possess deep hands-on development expertise in addition to architecture leadership experience.

Key Responsibilities

• Design and build enterprise-scale software platforms from the ground up.
• Architect and develop AI and machine learning solutions, including AI agent-based applications.
• Lead software architecture efforts from low-level system design through full application stack implementation.
• Integrate AI platforms with enterprise technologies and data ecosystems such as Databricks and Snowflake.
• Develop scalable software frameworks, services, and APIs to support AI workloads.
• Provide technical leadership and architectural guidance across engineering teams.
• Evaluate emerging AI technologies and determine appropriate integration strategies.
• Collaborate with business and technical stakeholders to operationalize AI solutions in production environments.
• Serve as a hands-on contributor capable of coding, reviewing architecture, and solving complex technical challenges.

Required Qualifications

• 8+ years of software architecture and software development experience at a senior engineer, technical lead, or architect level.
• Hands-on experience building large-scale software platforms and architectures.
• Experience designing systems from low-level architecture through application delivery.
• Strong software engineering background with demonstrated coding expertise.
• Practical experience developing AI, machine learning, or agentic AI solutions.
• Experience integrating applications with modern data platforms, including Databricks and Snowflake.
• Ability to rapidly learn and contribute in a fast-paced, high-pressure development environment.
• Proven track record of delivering complex technical solutions rather than solely providing architectural guidance.

Preferred Qualifications

• Experience building AI-native platforms and AI agents.
• Expertise spanning software architecture, AI/ML engineering, and cloud-native development.
• Experience integrating AI solutions into complex enterprise environments.
• Strong understanding of modern AI development tooling and workflows.
• Experience leading high-performing engineering teams and driving technical strategy.
• Prior experience owning both architecture and implementation across multiple technology domains.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.