Senior AI Lead - Snowflake
About the job
- A Bachelor's degree or completion of a college program in a related discipline is required.
- At least 10 years of experience with Python, Java, or equivalent, including evaluation tooling, logging, monitoring, and observability.
- At least 5 years of experience with the Snowflake AI Data Cloud and large-scale data projects, including Snowpark, Dynamic Tables, Streams and Tasks, and Snowsight, plus experience building API layers that expose data and artificial intelligence and machine learning capabilities to enterprise systems.
- At least 4 years of experience deploying and operating production systems with continuous integration and continuous delivery, infrastructure as code, and observability tooling.
- Practical machine learning operations and large language model operations experience across the machine learning and large language model lifecycle, including model training, evaluation harnesses, model serving, monitoring, and prompt management.
- At least 1 year of experience designing and shipping agentic artificial intelligence solutions in production, with agentic orchestration tools such as LangGraph, CrewAI, AutoGen, or similar.
- Hands-on experience with Snowflake Cortex AI, including Cortex Search, Cortex Analyst, and Cortex large language model functions, as well as retrieval-augmented generation and multi-agent systems on the Snowflake AI Data Cloud.
- Experience working with artificial intelligence platforms across OpenAI, Claude, Vertex AI, and open-source models.
- English is required for frequent interaction with English-speaking multinational teams.
- Embed directly with clients as both a technologist and trusted advisor.
- Partner with stakeholders to define use cases, rapidly prototype, and deploy robust, secure, operational agentic workflows in complex enterprise domains.
- Architect enterprise-ready artificial intelligence agent systems on Snowflake, including retrieval, orchestration, governance, evaluation, lifecycle observability, and related capabilities.
- Architect scalable Snowflake solutions for enterprise data workloads and champion best practices across customer engagements.
- Establish modern Snowflake architecture with Dynamic Tables, Streams, and Tasks, and use the Snowsight user interface for queries, dashboards, and operational visibility.
- Architect generative artificial intelligence patterns on Snowflake Cortex AI, including Cortex Search, Cortex Analyst, and Cortex large language model functions, so artificial intelligence operates next to the data.
- Develop abstraction layers across Anthropic, Google, and OpenAI artificial intelligence providers for clean integration.
- Use containerization, microservices, serverless, and event-driven architectures for scalable artificial intelligence-native systems.
- Mentor client teams on Snowflake data management, analytics, artificial intelligence and machine learning, and business intelligence integration.
- Process large-scale data on Snowflake using SQL, Python, and modern data integration tooling.
- Tailor agentic applications across industries and lead workshops, proofs of concept, and metric definition.
- Build Snowflake-native pipelines using Cortex AI, Dynamic Tables, and the Snowflake data ecosystem.
- Operate machine learning operations and large language model operations pipelines with continuous integration and continuous delivery across the machine learning and large language model lifecycle.
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.
Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.