At a Glance
- Tasks: Deploy and enable AI tools for Portfolio Management and Analytics teams.
- Company: Join a leading global asset management firm with a vibrant engineering community.
- Benefits: Competitive salary, education reimbursements, and opportunities for career mobility.
- Other info: Dynamic environment with a focus on diversity, continuous learning, and impactful technology solutions.
- Why this job: Make a real impact by solving complex business problems with cutting-edge AI technology.
- Qualifications: 8+ years in software engineering with strong Python skills and AI tooling experience.
The predicted salary is between 80000 - 100000 £ per year.
We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.
We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.
- You
- Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.
- Love solving complex real-world business problems.
- Recognize that cross-functional collaboration is a core component of success for the team.
- Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.
- Have become a stronger engineer by making mistakes and learning from them.
- Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.
- Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.
- Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.
- Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.
- Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.
- Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.
- Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.
PIMCO is seeking a Senior Forward-Deployed AI Engineer to join the Tactical AI Automations team.
This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform.
The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours.
Project Overview
PIMCO is scaling the adoption of AI tools - including LLM-based assistants, agentic workflows, and internal AI platforms - across its investment teams.
The Forward-Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap.
As the senior AI presence in the London office, you will also serve as the first line of support for Lane Assist / POET (PIMCO's portfolio optimization engine technology) during European hours, partnering closely with the US-based engineering teams.
Responsibilities
- AI Deployment, Enablement & Adoption
- Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval-augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research.
- Deliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations.
- Embed with PM and Analytics teams to understand investment and research workflows, identify high-value AI use cases, and build proofs of concept that demonstrate impact.
- Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team.
- Identify patterns across PM and Analytics teams to surface high-impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization.
- Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance.
- European Hours Production Support - Lane Assist / POET
- Provide first-line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users.
- Diagnose, resolve, or elevate production issues, coordinating handoffs with US-based engineering and support teams.
- Maintain runbooks, support documentation, and known-issue logs to improve supportability and reduce time to resolution.
- Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently.
Qualifications
- BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field.
- 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands-on work with LLMs, AI tooling, or ML systems.
- Strong Python skills and comfort reading, debugging, and prototyping production-quality code.
- Demonstrated experience deploying technology directly with end users in a forward-deployed, solutions engineering, or customer/field engineering capacity.
- Excellent communication skills, with a proven ability to teach technical concepts to both technical and non-technical audiences.
- Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps.
- Familiarity with LLM ecosystems (e. g., prompting, RAG, agents, MCP, fine-tuning, evaluation) and major AI platforms/APIs.
- Experience in financial services, asset management, or portfolio analytics is a strong plus.
- Good-to-have: experience with production support or SRE-style operations, SQL/Snowflake, data pipelines, or web applications.
- Additional Skills
- Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office.
- High empathy for users and genuine enthusiasm for driving adoption and behavioral change.
- Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype.
- Comfortable balancing strategic enablement work with hands-on operati
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Senior Forward-Deployed AI Engineer, Tactical AI Automations - PIMCO employer: eFinancialCareers
Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong commitment to employee growth, comprehensive benefits including a generous holiday allowance and a non-contributory pension scheme, Quilter fosters a culture of inclusivity and continuous improvement, empowering employees to make meaningful contributions to the financial futures of their clients and communities.
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