1

Ml Solutions Jobs (NOW HIRING)

Role Summary Avahi is seeking an experienced AI/ML Solutions Architect to join our passionate team. This role combines deep technical expertise with business acumen to craft scalable, resilient, and ...

AI/ML Solutions Architect

San Francisco, CA ยท On-site

$120K - $150K/yr

Role Summary Avahi is seeking an experienced AI/ML Solutions Architect to join our passionate team. This role combines deep technical expertise with business acumen to craft scalable, resilient, and ...

Role Summary Avahi is seeking an experienced AI/ML Solutions Architect to join our passionate team. This role combines deep technical expertise with business acumen to craft scalable, resilient, and ...

AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti ...

AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti ...

AI/ML Solutions Architect

Mclean, VA ยท Remote

$130K - $216K/yr

Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust clearance ...

AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti ...

AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti ...

AI/ML Solution Engineer

Rockville, MD ยท On-site

$140K - $180K/yr

This role is integral to the development and execution of advanced AI and ML solutions, significantly contributing to our technological growth. You will be instrumental in integrating AI/ML ...

Be Seen First

AI/ML Solutions Architect

Mclean, VA ยท Remote

$130K - $216K/yr

Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust clearance ...

next page

Showing results 1-20

Ml Solutions information

See salary details

$44.5K

$123.3K

$181.5K

How much do ml solutions jobs pay per year?

As of Jul 8, 2026, the average yearly pay for ml solutions in the United States is $123,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and working in high-paying industries or companies can earn $500,000 or more annually. Such roles often require advanced degrees, specialized certifications, and leadership responsibilities within organizations.

Is ML a high paying job?

Machine Learning (ML) professionals typically earn high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but ML roles are generally considered well-compensated within the tech field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized consulting firms.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role of MLEs remains critical in ensuring effective and ethical deployment of AI solutions.
More about Ml Solutions jobs
What cities are hiring for Ml Solutions jobs? Cities with the most Ml Solutions job openings:
What states have the most Ml Solutions jobs? States with the most job openings for Ml Solutions jobs include:
Infographic showing various Ml Solutions job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $123,284 per year, or $59.3 per hour.

AI/ML Solutions Architect

Avahi

San Francisco, CA โ€ข Remote

Full-time

Posted 8 days ago


Job description

Salary: $120,000.00 - $150,000.00

Company Overview

At Avahi, were redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Reselling, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first.


As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our valuesCustomer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusionwe empower businesses to embrace the full potential of a cloud-first approach.


Role Summary

Avahi is seeking an experienced AI/ML Solutions Architect to join our passionate team. This role combines deep technical expertise with business acumen to craft scalable, resilient, and innovative AI/ML architectures. You will be a trusted advisor to customers, solving complex challenges and guiding them through their AI/ML adoption journey.


As part of the sales organization, youll collaborate with customers, internal teams, and AWS partners to design and implement cutting-edge solutions while advocating for customer needs and driving best practices. You will also play a pivotal role in enabling field engagement, producing thought leadership content, and contributing to Avahis growing reputation in the AI/ML/GenAI space.


Key Responsibilities

Customer Engagement

  • Build and maintain strong technical relationships with customers, acting as their trusted advisor for AI/ML adoption.
  • Manage the overall technical relationship between Avahi, AWS, and customers, providing recommendations for security, performance, reliability, and cost optimization.
  • Educate customers on AI/ML/GenAI best practices and guide them through cloud-native architectural solutions.

Solution Architecture

  • Design and deliver scalable, flexible, and resilient AI/ML architectures tailored to customer requirements.
  • Guide customers in refactoring applications or building entirely new cloud-native AI/ML systems.
  • Leverage AWS services, such as SageMaker and Bedrock, to implement state-of-the-art AI/ML solutions.

Thought Leadership & Content Creation

  • Create and share best practices, technical content, and reference architectures (e.g., whitepapers, blogs, workshops).
  • Evangelize running AI/ML workloads on AWS through public speaking, workshops, meetups, and conferences.

Internal Advocacy

  • Serve as the voice of the customer, capturing feedback to influence Avahis service offerings and AWS roadmap features.
  • Collaborate with internal teams to ensure successful implementation of AI/ML projects.

Enablement & Field Engagement

  • Conduct training sessions and workshops for internal teams, customers, and partners to share AI/ML knowledge.
  • Drive the development of reusable tools and frameworks to enhance operational excellence.


Required Skills and Qualifications

  • Hands-on experience with AWS services, including SageMaker and Bedrock.
  • Deep knowledge of AI/ML/GenAI domains (e.g., MLOps, ML training, inference, data engineering, model evaluation, fine-tuning, prompt engineering, responsible AI).
  • Strong understanding of infrastructure-as-code (IaC) principles with experience using tools like Terraform or CloudFormation.
  • Proven track record of delivering successful AWS migration and modernization projects.
  • Experience engaging decision-makers and leading complex projects to drive extensible, cost-optimized solutions.
  • Familiarity with the AWS Well-Architected Framework and its application to solution design.
  • Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
  • Strong communication skills, both written and verbal, with experience influencing technical and business stakeholders.


Why Work Here

  1. Remote-First Flexibility:
    Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.
  2. Innovative Culture:
    We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions.
  3. Career Development:
    Avahi is committed to your growth, offering mentorship and opportunities to advance your career.
  4. Purpose-Driven Mission:
    Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.
  5. Global Collaboration:
    Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.


Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth.


Accessibility and Inclusivity Statement
At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities.


We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.