Senior Agent Architect - Partner Success

PRINCIPAL AI ENGINEERING ARCHITECT We're looking for a Principal AI Engineering Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI — with deep, hands-on mastery of multi-agent agentic AI solutions. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the engagements they support, while also being able to roll up their sleeves and lead model development, agentic system design, and production delivery end-to-end. In this role, you will operate as the senior technical authority on a cross-functional team, defining architecture across cloud infrastructure, data platforms, and AI/ML workloads, with a strong bias toward AWS-native services and AWS GenAI offerings. You'll partner closely with leadership and clients on technical strategy, lead the design and delivery of complex, production-grade multi-agent systems, mentor experienced engineers, and own high-stakes decisions that shape the long-term success of the systems you build. Why This Role Matters At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. WHAT YOU'LL DO Craft & Delivery Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements, owning architecture decisions and driving solutions from research through production at scale Architect and ship production-grade multi-agent agentic AI systems, including agent orchestration, tool use, memory, and inter-agent communication patterns Design and build with Amazon Bedrock AgentCore and complementary AWS GenAI services to deploy, scale, and operate agentic workloads securely in production Architect scalable cloud-native solutions with a strong bias toward AWS, including multi-cloud and hybrid strategies where needed (AWS primary, with Azure, GCP, Kubernetes as secondary) Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka) Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Bedrock, AgentCore, Vertex AI, MLflow, Hugging Face) Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams Define infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions) Drive performance, scalability, cost, and reliability optimization across deployed systems Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2) Lead cloud migrations and platform modernization initiatives Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively Collaboration & Communication Partner with senior leadership and clients as the principal technical voice on strategy and direction Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities Develop and maintain architecture documentation, standards, and guidelines Leadership & Influence Define and champion architectural standards and best practices across the engagements you support, bringing depth on tradeoffs, long-term implications, and responsible AI practices Mentor and grow engineers at all levels, multiplying impact through coaching, code reviews, and pairing on hard problems Own the most difficult architectural, integration, and agentic-system challenges, serving as the senior technical decision-maker and driving them through to production with care for reliability, cost, and safety Evaluate emerging technologies — especially in the agentic AI and AWS ecosystems — and recommend tools, frameworks, and patterns that improve architecture over time What You'll Bring 8+ years of software engineering experience, with at least 5 years in technical leadership roles and 4+ years focused on AI/ML systems in productionExpert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems Deep, hands-on expertise designing and shipping production multi-agent agentic AI systems, including agent orchestration, planning, tool use, and multi-agent coordination patterns Deep expertise with AWS, including in-depth knowledge of AWS GenAI offerings and hands-on experience with Amazon Bedrock AgentCore; broader multi-cloud experience (Azure, GCP) is a plus Strong background in microservices, serverless, containers, and event-driven systems (e.g., Kubernetes, Docker, Lambda, EventBridge) Proficiency with infrastructure as code and CI/CD (e.g., Terraform, CloudFormation, Pulumi, GitHub Actions) Strong data architecture expertise across relational, NoSQL, and big data systems (e.g., PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, Kafka) Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration (e.g., Airflow, Prefect, dbt) Mastery of AI frameworks and orchestration tools for building agentic systems (e.g., LangChain, LangGraph, AgentCore, CrewAI, AutoGen, or equivalents) Strong experience designing AI/ML systems for production, including LLMs, MLOps, and model serving (e.g., SageMaker, Bedrock, Vertex AI, MLflow, Hugging Face, PyTorch, TensorFlow) Strong experience with evaluation frameworks and observability tools for LLM and agentic apps, including building these capabilities where they don't yet exist Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval techniques API design experience, including architecting and integrating with internal and third-party services at scale Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization Solid understanding of networking, security, identity, and access management in cloud environments Experience with governance, compliance, and observability frameworks Track record of senior technical leadership and mentoring experienced engineers Strong stakeholder communication skills, with the ability to translate technical depth across audiences Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications (e.g., TOGAF, AWS/Azure/GCP) is a plus Our salary range is $180,375 – $230,625 USD

About Alpha Group Alpha Group is a leading global consultancy to the financial services industry. Founded in 2003, Alpha has spent over 20 years bringing together specialist, sector-focused strategy, management consulting, and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives, and insurance industries, Alpha is a trusted advisor for complex change programs. We now have over 1,180 consultants working with clients across North America, the UK, Europe, the Middle East, and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. Many of our team have built long and fulfilling careers with us, often staying for over a decade. Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others, and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues—individuals who are collaborative, innovative, and ambitious. We hope you will join us and help shape the next chapter of our growth journey. Why join Alpha? * Flexibility that supports real life – We trust our team to manage their time and energy in the way that works best for them. Our hybrid and flexible working model allows you to balance client delivery with personal commitments — without sacrificing career progression. * Inclusive parental leave & family support – We offer generous parental leave for all parents alongside a truly supportive return-to-work culture. Many of our team members transition smoothly back through flexible scheduling, ramp-up periods, and ongoing mentorship. * Established yet entrepreneurial – Alpha combines the stability of a global consultancy with the agility of a high-growth firm, giving you autonomy, visibility, and the ability to shape your career. * Learning built in, not added on – You’ll receive tailored training, structured mentorship, and up to 5 paid training days each year, plus on-the-job experience that accelerates your growth. * A diverse culture and leadership team – We’re proud to have diversity within our senior leadership here at Alpha across North America and globally. We invest in developing all leaders through coaching, internal communities, and opportunities to work closely with partners. * A truly supportive environment – We’re a meritocratic culture where your impact matters more than face time. We care about results, high standards, and collaboration. About Alpha Tech Services Alpha Tech Services represents the technology implementation and business integration arm of the Alpha group, with deep expertise in delivering change and transformation programs centered around Asset & Wealth technology solutions. To clients, we are a trusted partner for creating programs, however, we are so much more to our employees. At Alpha, we pride ourselves in being a meritocratic environment perfect for building a career and meeting great people, as well as a rewarding place to work. Role Responsibilities Alpha FMC is looking for a Solution Architect - AI to join our growing team. We are seeking people with strong AI/ML engineering skills, hands-on development experience, and a personal desire to build a unique, world-class AI service offering for our clients. The Solution Architect - AI presents a technical perspective on AI architecture choices and implementation decisions, leading teams of specialists to design and deliver AI-powered solutions across the investment management technology landscape, providing SME guidance on agentic and RAG-based architecture, and working with key client stakeholders to maximize value delivery on time and on budget. * Design and lead the delivery of AI solutions for clients, including RAG pipeline architecture, agentic workflow design, system integration, testing, and documentation. * Drive the end-to-end implementation of agentic RAG architectures, with a preference for Azure AI Foundry, ensuring solutions are scalable, secure, and aligned with client needs. * Define and lead project planning to establish a detailed statement of work and tasks associated with successful AI implementations. * Manage the governance of AI delivery projects including regular status updates, monitoring of individual project tasks and budget, and proactive communication to clients and the Alpha project team. * Manage and mentor a team of developers and consultants. Ensure documentation and development are aligned with defined specifications, industry best practices, and responsible AI principles. * Define and promote best practice technical methodologies for AI solution delivery, including RAG pipeline design, semantic modeling, GraphRAG, and agentic integration patterns. * Contribute to the development of internal AI accelerators, frameworks, and propositions within an asset and wealth management context. * Oversee technical handover of AI solutions to client teams upon completion of engagement. Role Requirements: * 5+ years of experience in a solutions engineering, implementation, or AI/ML engineering role, preferably within financial services or investment management * Hands-on experience designing and building RAG application architectures, including retrieval pipeline design, chunking strategies, embedding models, and vector store integration. * Experience with Agentic RAG frameworks and architectures, with Azure AI Foundry strongly preferred Proven ability to drive agentic architectures and integrations, including multi-agent orchestration and tool-use patterns. * Experience with semantic modeling and GraphRAG, including knowledge graph design and integration into retrieval pipelines * Deep understanding of the Asset and/or Wealth Management value chain, spanning multiple client segments, investment products, and operating models. * Must be comfortable leading executive-level workshops, steering committees, and technical design sessions Proficiency in Python and SQL, with experience across cloud data platforms such as Azure, Snowflake, Databricks, and AWS. * Strong understanding of investment products and asset classes, with the ability to translate business needs into AI and technology design requirements. * Experience with integration of cloud-based architecture and AI services, including Azure AI stack - Foundry, Document Intelligence, Search, and related services. * Proficiency in data modeling, data governance, and data quality management across investment data domains. * Expertise leading small to medium-sized teams in implementation or consulting environment * Openness to travel depending on client preference Compensation and Perks: * A competitive salary with discretionary bonus scheme based on company and personal performance * 25 days of annual paid time off * 401k matching * Sponsorship towards professional certifications / training supported with 5 days of paid training time * Choice of laptop * Supplemented medical, dental and vision coverage * North America team-wide training and employee appreciation retreats This role is eligible for base compensation of up to $186,200, with final compensation determined based on a variety of factors, including skills, experience, training, and licensure or certifications. Employees are also eligible for both variable and non-variable benefits. We are committed to creating an environment where careers and families can thrive together. Our family-friendly benefits are designed to support employees through every stage of caregiving: * Comprehensive parental leave for all parents, including 8 weeks of birthing leave and 8 weeks of bonding leave. * Return with Care Program to support a smooth transition back to work after leave. * Child Sickness Leave, providing up to 5 days of protected time for returning parents. * Menstrual care support, offering employees time off as needed to manage menstrual-related illness. * Pregnancy loss support, offering paid time off and resources to support employees through loss. * Menopause support, ensuring employees have access to resources and flexibility during this stage of life. * Flo subscription coverage for up to two memberships per year to support reproductive and hormonal health. * Flexible hybrid schedules help balance work and family commitments. * A supportive community of working parents that shares resources and fosters connection. * Leadership that models healthy work–life integration, reflecting our belief that family and professional success go hand in hand. Our Commitment to Inclusion At Alpha, diversity, equity and inclusion are critical to our success. Our priorities show a focus on fostering an inclusive, equitable workplace where individuals are treated fairly regardless of gender or background. We welcome applications from disabled people and are committed to making our recruitment process and workplace accessible and inclusive for everyone.