AI Jobs
AI jobs are open across technology, healthcare, finance, and retail, from entry-level analyst to principal engineer and research scientist, with specializations in machine learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are hiring AI Engineers (Software) to help us build the product and platform. In this role, you’ll lead customer-facing engagements, collaborating closely with customer and partner technical teams, alongside our internal squad to enhance tech solutions. This role requires you to efficiently navigate between detailed coding and broader business and product strategies. You must be highly organized, adept in cross-functional teams, and passionate about advancing AI technology.
Responsibilities
- Enable enterprise customers to deploy a diverse and dynamic range of AI agents from multiple third-party platforms (including models, LLMs, micro-services and even orchestration layers) through their own secure and scalable platform.
- Develop innovative AI products for reputable global clients, focusing on Typescript.
- Discover and incorporate new partnerships, products, and technologies, including cutting-edge LLMs and AI models, from both established and emerging vendors.
- Design and implement algorithms specifically for AI agents, utilizing your Typescript expertise and understanding of AI frameworks.
- Strategize on the seamless integration of new features and APIs across various platforms in large-scale enterprise environments, leveraging your Typescript and potential Python skills.
- Exhibit a deep commitment to understanding user needs and meticulous attention to detail, ensuring our solutions not only meet but exceed user expectations.
- Uphold and exceed enterprise-grade compliance standards, such as SOC2, ensuring our products are secure and reliable.
Minimum Qualifications
- 7 years of software development experience
- Experience with and/or knowledge of AI concepts including natural language processing, machine learning, and neural networks
- Strong background in Typescript development
- Experience in building secure, scalable APIs
- Understanding of cloud environments (Azure, AWS, GCP)
- A passion for learning about AI Agent frameworks
- Impressive problem solving / analytical skills
- Impeccable attention to detail and integrity in your work ethic
- A leadership mindset and ability to proactively take charge in a fast moving environment
Preferred Skills
- Practical experience with AI Agent frameworks
- Experience with agent orchestration applications
- Proficiency in CICD, Kubernetes and containerization technologies
- Experience using Python
Why Join Us?
- A high-performance culture
- State-of-the-art technology
- Experience world-class leadership
- Scale of impact and purpose
- A competitive salary and a huge growth trajectory
- Work with the best in the industry
- Flexible work environment
- Diversity and creativity
Disclaimer:
We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.
About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are hiring AI Engineers (Software) to help us build the product and platform. In this role, you’ll lead customer-facing engagements, collaborating closely with customer and partner technical teams, alongside our internal squad to enhance tech solutions. This role requires you to efficiently navigate between detailed coding and broader business and product strategies. You must be highly organized, adept in cross-functional teams, and passionate about advancing AI technology.
Responsibilities
- Enable enterprise customers to deploy a diverse and dynamic range of AI agents from multiple third-party platforms (including models, LLMs, micro-services and even orchestration layers) through their own secure and scalable platform.
- Develop innovative AI products for reputable global clients, focusing on Typescript.
- Discover and incorporate new partnerships, products, and technologies, including cutting-edge LLMs and AI models, from both established and emerging vendors.
- Design and implement algorithms specifically for AI agents, utilizing your Typescript expertise and understanding of AI frameworks.
- Strategize on the seamless integration of new features and APIs across various platforms in large-scale enterprise environments, leveraging your Typescript and potential Python skills.
- Exhibit a deep commitment to understanding user needs and meticulous attention to detail, ensuring our solutions not only meet but exceed user expectations.
- Uphold and exceed enterprise-grade compliance standards, such as SOC2, ensuring our products are secure and reliable.
Minimum Qualifications
- 7 years of software development experience
- Experience with and/or knowledge of AI concepts including natural language processing, machine learning, and neural networks
- Strong background in Typescript development
- Experience in building secure, scalable APIs
- Understanding of cloud environments (Azure, AWS, GCP)
- A passion for learning about AI Agent frameworks
- Impressive problem solving / analytical skills
- Impeccable attention to detail and integrity in your work ethic
- A leadership mindset and ability to proactively take charge in a fast moving environment
Preferred Skills
- Practical experience with AI Agent frameworks
- Experience with agent orchestration applications
- Proficiency in CICD, Kubernetes and containerization technologies
- Experience using Python
Why Join Us?
- A high-performance culture
- State-of-the-art technology
- Experience world-class leadership
- Scale of impact and purpose
- A competitive salary and a huge growth trajectory
- Work with the best in the industry
- Flexible work environment
- Diversity and creativity
Disclaimer:
We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.
See All 678+ AI Jobs
Jump back to the full list of openings and apply to any AI role that fits.
Find AI JobsAI Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Capital One78
- Tata Consultancy Services (TCS)26
- PepsiCo16
- Bain & Company11
- Boston Consulting11
Top Industries Hiring
- Technology & Software306
- Consulting & Professional Services93
- Banking & Financial Services90
- Fintech51
- Insurance28
What Employers Look For
The qualifications that appear most often in AI jobs.
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience building, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms including AWS, Google Cloud, or Azure for model deployment
- Strong foundation in statistics, linear algebra, and probability for model development
- Experience with data preprocessing, feature engineering, and working with large datasets
- Bachelor's or master's degree in computer science, data science, mathematics, or a related field
Tips for Your AI Job Search
Quantify your model performance results
Recruiters and hiring managers want to see numbers behind your AI work. Replace vague claims with concrete outcomes: accuracy improvements, latency reductions, or cost savings your models delivered. Specificity signals that you can measure what matters, not just build.
Tailor your resume to each role's stack
AI job listings vary sharply between PyTorch shops, TensorFlow environments, and cloud-native MLOps setups. Mirror the exact tools named in each posting on your resume. A generic skills list rarely clears the first screening round at companies with structured hiring pipelines.
Build a public portfolio with reproducible work
A GitHub repository showing end-to-end projects, from data ingestion through model deployment, carries more weight than coursework alone. Interviewers often review your code before the first call, so document your reasoning and include a clear README for each project.
Apply early to roles that fit
Migrate Mate lists ai openings from across the United States in one place, so you can find roles that match and apply directly to each listing. Applying early gives your application more visibility before a posting draws a large volume of candidates.
Prepare for system design rounds specific to AI
Many senior ai interviews include a machine learning system design round covering data pipelines, feature stores, model serving, and monitoring. Practice designing end-to-end systems out loud, not just coding algorithms. Companies use this round to assess how you think at scale, not just whether you can tune a model.
Negotiate beyond base salary using equity and compute
AI roles at growth-stage companies often include GPU or cloud compute budgets as part of the package, alongside equity. Ask specifically about compute access during offer conversations, especially if the role involves training large models. This resource can significantly affect your day-to-day productivity and the scope of work you can pursue.
AI Jobs: Frequently Asked Questions
Which companies are hiring the most AIs?
The companies hiring the most ais right now include Capital One, Tata Consultancy Services (TCS), and PepsiCo, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated at technology companies, large enterprise employers integrating AI into existing products, and well-funded startups building AI-native applications.
How many AI jobs are remote?
About 37% of ai openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible roles in technology. Research roles, machine learning engineering, and NLP positions tend to have the highest remote availability, while applied AI roles tied to hardware or on-premise data infrastructure are more likely to require on-site presence.
How do you become an AI professional?
You build a foundation in Python, statistics, and linear algebra first, then work through machine learning fundamentals using hands-on projects. Completing a relevant degree or intensive program helps, but employers weigh your portfolio heavily. Build end-to-end projects covering data collection, model training, and deployment. Contribute to open-source repositories, document your work publicly, and apply to roles where your existing skills match at least the core requirements.
Can you get hired in AI with little or no experience?
You can break into ai roles by demonstrating applied work even without formal job experience. Build projects that solve real problems, publish your code, and target titles like machine learning engineer, AI analyst, or junior data scientist where employers expect to train candidates. Internships, research assistantships, and kaggle competition placements all count as concrete evidence of ability when your resume has no prior job history in the field.
What does the AI interview process look like?
Most ai interview processes include an initial recruiter screen, a technical phone interview covering Python and machine learning concepts, a take-home assignment or coding challenge involving a real dataset, and a final loop with multiple rounds. The final loop typically includes a machine learning system design round, a coding round, and a behavioral interview. Research-focused roles may also include a presentation of prior work or a paper discussion.
Where can I find and apply to AI jobs?
You can find and apply to ai jobs on Migrate Mate, which lists current openings from employers across the United States. Search for roles that match your skills and experience level, then apply directly to each listing. The platform covers positions from entry-level analyst roles through senior research scientist and principal engineer positions across industries.
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