AI & Data - Forward Deployed AI Engineer, Senior Manager

• Turn ambiguous business problems into concrete AI solutions by partnering with clients to understand workflows, constraints, success metrics, and incentives

• Translate business challenges into well-scoped AI use cases (e.g., prediction, automation, retrieval, agent workflows)

• Define MVP scope, data requirements, and evaluation criteria jointly with stakeholders

• Build fast prototypes using - LLMs, RAG pipelines, fine-tuning, agents, traditional ML models where appropriate

• Design and implement AI architectures, including data ingestion, feature pipelines, embeddings, vector stores, model selection, tuning, and evaluation.  Prompt design, guardrails, and system instructions.

• Integrate AI components with existing client systems (APIs, data warehouses, SaaS platforms). Optimize for latency, cost, reliability, and scalability

• Deploy solutions into client infrastructure (cloud, hybrid, on-prem), navigating real-world constraints such as security, compliance, data residency, legacy systems.

• Set up monitoring for model performance and drift, prompt failures, hallucinations, and regressions.

• Provide technical training and knowledge transfer to client teams

• Capture reusable patterns, architectures, and accelerators

• Contribute to internal playbooks and reference implementations

• Share lessons learned across engagements

• Support pre-sales with technical credibility and demos

• Stay current on fast-moving AI tooling and model capabilities

To qualify for the role, you must have.

• 7+ years for Senior Manager  of AI/ML engineering experience with strong fundamentals in data structures, algorithms, and system design with Python in production environments

• Deep applied AI/ML mastery: NLP/transformers, generative models (GANs/VAEs), reinforcement learning, classical ML and statistical modelling.

• Advanced LLM/RAG engineering: prompt pipelines, embeddings, vector stores (FAISS/Milvus/Pinecone), hybrid retrieval, grounding, hallucination mitigation and evaluation frameworks.

• LLMOps/MLOps: automated testing, drift monitoring, safety/guardrails, CI/CD for ML, telemetry, lineage and governance.

• 7+ years of experience with cloud platforms (Azure-preferred, GCP, or AWS) and modern data infrastructure

• Experience with containerization and CI/CD pipelines

• Proven ability to work with clients in a technical consulting, solutions engineering, or product engineering role

• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions

• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

• Background in machine learning, with hands-on experience training or fine-tuning models

• Relevant experience in consulting or industry with significant management experience

• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)

• Demonstrated ability to lead multi‑disciplinary teams (engineering, data science, architecture, product, design) through complex delivery cycles.

• Experience building and deploying AI agents or autonomous systems in production

• Experience in using modern Python AI stack (e.g.  LangChain, LangGraph , Llama   Index, FastAPI)

• Previous work in a forward deployed, field engineering, or technical account management role

• Domain expertise in verticals like finance, healthcare, government, or manufacturing

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer:

• Support and coaching from some of the most engaging colleagues around

• Opportunities to develop new skills and progress your career.

• The freedom and flexibility to handle your role in a way that’s right for you.

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

• Pension

• Maternity & Paternity leave

• Discounted health insurance

• Bike to work Scheme

• Web Doctor - Free unlimited online GP consultations for you and your family

• Recognition Awards

• The purchase of additional annual leave

• Cash incentives for referrals

• Hybrid Working

• Work Mobile

• Free Gym membership

• TECH MBA paid by EY

• Travel Pass

• Wellness rooms Available in some offices

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.

• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.

• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.

• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.