AI Solutions Engineer

Thales • Ottawa, ON

7d • CA$120,000 - CA$150,000 • Hybrid

About The Position

The AI Solutions Engineer will bridge the gap between traditional mission-critical software engineering and next-generation autonomous decision support in the context of Land C4ISR under the DSEF project. In this role, the successful candidate will lead the integration of AI-driven capabilities into existing Land C4ISR frameworks, ensuring that system integrity is maintained while advancing intelligence, surveillance and reconnaissance workflows and decision making through intelligent software solutions.

This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List and/or the US the Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access.

Requirements

• Minimum of 5 years of demonstrated experience as a Software Engineer on Military Command and Control Software systems.
• Minimum of 4 years of demonstrated experience as a Software Specialist within an Integrated Product Team (IPT) for an onsite client.
• Minimum 8 years of demonstrated experience: Providing advice, guidance and recommendations on technical issues to support the decision-making of senior management.
• Minimum 8 years of demonstrated experience: Leading multidisciplinary teams in the development of IT tactical systems, frameworks or strategies.
• Minimum 8 years of demonstrated experience: Communicating information technology frameworks/strategies to management and technical staff.
• Minimum 8 years of demonstrated experience: Communicating system engineering direction for projects or systems.
• Minimum 8 years of demonstrated experience: Performing strategic, operational or tactical planning for projects or systems to meet corporate strategy.
• Minimum of 14 years of demonstrated experience within the last 18 years, covering at least five of the following: Software engineering within a Client/Server Environment or Collaborative Environments; Managing, Analyzing, Designing, Modeling, and Implementing software systems; Communication engineering (Hardware, Software and Network) or Specialty engineering (Security, Modeling and Simulation, ISR); Software Engineering for Real-Time systems, Distributed Systems, embedded systems or mission critical systems environments; Software Integration: hardware and software, (COTS and/or custom developed) components into new or existing systems;
• Demonstrated experience in the field of Firepower, ISR, C4ISR, or Modelling and Simulation software development.
• System life-cycle management for software systems.
• Knowledge of agile software engineering methodologies;
• Work on well-defined projects with minimal supervision;
• Experience in designing and integrating AI algorithms capable of synthesizing multi-source data (e.g., ISR feeds) into actionable intelligence for commanders.
• Expertise in utilizing AI/ML to enhance the fidelity of tactical simulations, allowing for real-time scenario generation and predictive analysis of battlefield outcomes.
• Proven track record in applying AI-driven optimization techniques to resource allocation, logistical planning, and autonomous decision-support systems within constrained tactical networks.
• Demonstrated experience navigating the unique challenges of software testing, verification, and validation (V&V) for non-deterministic AI/ML components in mission-critical environments
• Business acumen;
• Capable of developing strong relationships across the business through excellent customer service;
• Excellent communication skills in the English language, written and verbal.
• College Diploma in Computer Technology, or a Bachelor of Science (or suitable engineering/technical field) relevant to Land C4ISR support.
• This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian Enhanced Reliability security clearance.

Nice To Haves

• Experience in CBRN analysis.
• Experience in sensors integration.
• Experience with Land C4ISR interoperability standards.
• Graduate degree in Engineering - software, computer, systems, electrical, or a suitable engineering or technical field required to support Land C4ISR.

Responsibilities

• Review, analyze, and provide architecture recommendations on software and application interface documentation, specifically focusing on the integration of AI/ML modules.
• Recommend system-level solutions to bridge capability gaps, leveraging applied AI technologies to mission-critical software.
• Oversee the lifecycle management of AI-enabled C4ISR systems, including witnessing integration testing for autonomous sensor fusion and M&S components.
• Advise senior management on the strategic implementation of AI frameworks within tactical IT environments, leading multidisciplinary teams to deliver high-fidelity, intelligent defense systems.
• Prepare rigorous technical and procurement documentation for the acquisition and maintenance of AI-based applications and software suites.
• Conduct technical definition studies and options analysis, specifically evaluating the performance and reliability of AI algorithms in Land C4ISR environments.

Benefits

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
• Company paid holidays, vacation days, and paid sick leave.
• Voluntary Life, AD&D, Critical Illness, Long-Term Disability.
• Employee Discounts on home, auto, and gym membership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree