We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Software Engineering Specialist. This role will lead the technical direction for enterprise AI initiatives across internal platforms and tools.

Principal responsibilities:

• Lead the technical direction for enterprise AI initiatives across internal platforms and tools.
• Identify and prioritise high-value AI use cases aligned with engineering and business goals.
• Design, build, and deploy production-grade AI applications using LLMs, RAG, agent-based workflows, and related patterns.
• Partner closely with engineering teams to integrate AI capabilities into existing systems and delivery pipelines.
• Define architecture and best practices for AI services, model orchestration, evaluation, observability, and lifecycle management.
• Establish practical governance for AI security, privacy, compliance, and responsible use in a regulated environment.
• Create technical standards, reusable frameworks, and implementation guidance for broader engineering adoption.
• Evaluate tools, vendors, and platforms, and make pragmatic build-vs-buy recommendations.
• Communicate clearly with technical stakeholders on trade-offs, risks, progress, and expected impact.

Knowledge & Experience/Qualifications:

• 10+ years of experience in software engineering, machine learning, AI, or related technical roles.
• Strong hands-on experience with Python in production environments.
• Proven experience delivering LLM / GenAI solutions in enterprise settings.
• Practical experience with RAG systems, agent workflows, prompt design, model evaluation, and production integration.
• Familiarity with AI platform operations, including deployment, monitoring, logging, security, and reliability.
• Experience working across multiple engineering teams and influencing architecture and execution without direct authority.
• Strong understanding of enterprise-grade controls, especially around data protection, governance, and risk management.
• Ability to balance innovation with delivery discipline in a regulated or security-conscious environment.

What additional skills will be good to have?

• Experience in banking, financial services, FinTech, or other regulated industries.
• Experience building internal AI assistants, developer productivity tools, knowledge copilots, or workflow automation solutions.
• Familiarity with vector databases, orchestration frameworks, model gateways, and enterprise integration patterns.
• Experience defining AI engineering standards, evaluation frameworks, and governance processes.

You'll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.

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The Responsible AI team is hiring a Technical Program Manager to help bring that vision to life. Reporting into the sub-team supporting Microsoft Superintelligence and foundation model development, you will establish and operationalize AI safety, governance and responsibility practices across the model lifecycle. You will work directly with world-leading researchers to identify risks, set responsible AI standards, and ensure that appropriate mitigations are in place before our models are released.

As part of a multidisciplinary group of AI & society experts in the broader Responsible AI teams, you will operationalize and shape governance frameworks at the frontier of the field, addressing technical, ethical and regulatory challenges.

Responsibilities: Collaborate with fast-paced model development teams to identify risks, develop policies and evaluations and ensure appropriate mitigations are in place prior to deployment. Establish, improve, and operationalize foundation model governance processes, ensuring Microsoft Superintelligence addresses key risks and develops models that benefit people and society. Produce analyses and recommendations to support Microsoft Superintelligence decision-making across a wide range of AI & society topics. Drive organizational clarity on complex AI responsibility and safety questions, working through ambiguity at pace with a high degree of autonomy and judgment. Develop and embed Responsible AI best practices across Microsoft Superintelligence workflows. Partner with colleagues in the Office of Responsible AI and Microsoft's Corporate, External and Legal Affairs (CELA) team to develop and apply innovative governance processes responsive to a dynamic technical and regulatory landscape.

Qualifications: Required Qualifications: Related bachelor's degree AND experience in AI policy, AI governance or a related field OR equivalent experience. Demonstrated experience identifying and addressing risks related to frontier AI through both technical and non-technical measures. Deep understanding of current challenges and priorities in AI responsibility and safety. Proven ability to collaborate with highly technical stakeholders, identify novel risks from technical specifications and guide mitigation efforts. Experience standing up and operationalizing governance processes or managing complex programs requiring rigorous yet fast-paced execution and stakeholder management. Track record of delivering on complex cross-functional projects in ambiguous, rapidly changing environments and demands. Additional or Preferred Qualifications: Experience drafting model-level policies or evaluating foundation models. Research background in fields related to AI and society. Broad perspective on AI risks, from content safety and psychosocial harms, to frontier risks. Familiarity with frontier AI governance frameworks and emerging AI regulation.

Salary: The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Benefits: Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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