4 days ago

Solution Architect (Artificial Intelligence)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Shape AI and machine learning solution architectures for the Air Sector, defining designs that are secure, scalable, governed, and aligned to business objectives. Lead architectural governance for end-to-end ML platforms and pipelines, embedding MLOps, AI ethics, and data governance. Provide expert technical guidance, run architectural reviews with risk and impact assessments, and influence key technical decisions with stakeholders across projects and programmes.

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the design and governance of AI and machine learning solution architectures, ensuring security, scalability, and cost-effectiveness.
•Architect end-to-end machine learning platforms and pipelines, embedding MLOps, AI ethics, and data governance best practices.
•Define and maintain architectural standards, frameworks, and roadmaps for AI-enabled solutions across the Air Sector.
•Provide technical leadership and expert guidance on AI, machine learning, and data science technologies to project teams and stakeholders.
•Conduct architectural reviews, risk assessments, and impact analysis to ensure solutions meet business, technical and safety requirements.

Pay and Benefits

Salary: GBP 70,000

Key Requirements

•Proven solution or systems architecture experience focused on AI and machine learning technologies.
•Strong understanding of data science and machine learning lifecycles, including MLOps principles and practices.
•Experience designing and governing complex enterprise-scale technology solutions.
•Strong stakeholder management and communication skills to influence technical and non-technical audiences.
•Relevant IT or architecture certifications would be advantageous.

Experience:Artificial intelligenceMachine learningData scienceEnterprise technology

Skills:Stakeholder managementCommunicationTechnical leadershipArchitectural governanceRisk assessment

Tech Stack:AIMachine learningMLOpsData governanceData science

Eligibility

Security Clearance:Baseline Personnel Security Standard

Company Brief

BAE Systems

Multinational defence, security and aerospace company designing, manufacturing and supporting military and civilian systems including naval ships, submarines, aircraft, cyber solutions and electronic systems for governments and commercial customers.

Industry: Defense Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1999

Website LinkedIn

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BAE Systems

4 days ago

Solution Architect (Artificial Intelligence)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the design and governance of AI and machine learning solution architectures, ensuring security, scalability, and cost-effectiveness.
•Architect end-to-end machine learning platforms and pipelines, embedding MLOps, AI ethics, and data governance best practices.
•Define and maintain architectural standards, frameworks, and roadmaps for AI-enabled solutions across the Air Sector.
•Provide technical leadership and expert guidance on AI, machine learning, and data science technologies to project teams and stakeholders.
•Conduct architectural reviews, risk assessments, and impact analysis to ensure solutions meet business, technical and safety requirements.

Pay and Benefits

Salary: GBP 70,000

Key Requirements

•Proven solution or systems architecture experience focused on AI and machine learning technologies.
•Strong understanding of data science and machine learning lifecycles, including MLOps principles and practices.
•Experience designing and governing complex enterprise-scale technology solutions.
•Strong stakeholder management and communication skills to influence technical and non-technical audiences.
•Relevant IT or architecture certifications would be advantageous.

Experience:Artificial intelligenceMachine learningData scienceEnterprise technology

Skills:Stakeholder managementCommunicationTechnical leadershipArchitectural governanceRisk assessment

Tech Stack:AIMachine learningMLOpsData governanceData science

Eligibility

Security Clearance:Baseline Personnel Security Standard

Company Brief

BAE Systems

Industry: Defense Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1999

Website LinkedIn