We are seeking an AI Solutions Architect to work with our in-house AI platform, AVA+ and tailor it to our clients' needs. You will be responsible for designing, implementing, and deploying AI solutions that integrates seamlessly with existing systems while ensuring optimal performance and scalability. You will collaborate with cross-functional teams to translate business requirements into technical specifications, ensuring that AI initiatives align with the overall strategic goals of our clients.
Key Responsibilities:
- Work with Sales teams in a technical pre-sales and delivery capacity.
- Lead the architecture and design of AI solutions.
- Work closely with clients to understand their business challenges and translate these into effective AI strategies.
- Collaborate with software engineers and data scientists to drive the full lifecycle of AI solutions from concept and architecture to production deployment.
- Ensure that AI solutions are scalable, maintainable, and adhere to security best practices.
- Provide technical leadership and mentorship to teams across the organization.
- Stay updated with the latest trends and advancements in AI, machine learning, and related technologies, sharing insights with the team.
- Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning.
- Solid understanding of machine learning algorithms, data structures, and statistical modelling.
- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in languages such as Python, Java, or Scala.
- Strong experience with cloud-based AI services and platforms (e.g., AWS, Azure, GCP, ServiceNow, SalesForce).
- Proven experience of the sales lifecycle from lead development, client proposal / presentations, to onboarding delivery teams.
- Excellent communication and stakeholder management skills, with the ability to articulate technical concepts to non-technical stakeholders.
- Any experience around AWS Bedrock, Google Vertex, AI Studio would be preferable.
- Experience around leading teams and engagements.
- A degree in Computer Science, Data Science, or a related field; advanced degrees are preferred.
About Digiterre
Digiterre is a software and data engineering consultancy that enables technological and organisational transformation for many of the world’s leading organisations - be they commodity or energy traders, banks or investment managers, digital disruptors or public sector providers. We envisage, design and deliver software and data engineering solutions that users want, need and love to use. We achieve “Agility. At Greater Velocity” because we care about taking ownership for solving the toughest technical challenges and creating outstanding outcomes. As a consequence of this approach, we typically deliver high-risk, high-profile and time-constrained projects in less time than competitors, often significantly so.
Digiterre has won at least ten different industry awards including Best MiFID II Solution – Trade and Transaction Reporting awarded by HFM European Hedge Fund Services.
Our working culture is highly collaborative, consultative, and respectful. We fully understand our client’s needs as they evolve through the development lifecycle and use modern tools, methodologies, and technologies to enable us to work closely with in-house experts, and their end users, to maximise the benefits to all involved
Our Values:
Our values are Care, Quality and Leadership.
Like all great professional services organisations, our aim is to delight our clients through the delivery of excellence and adherence to the highest levels of accountability in all that we do. In short, through keeping our promises and by over-delivering against our commitments wherever possible. Underpinning those aims is an all-encompassing passion for technology and data-led transformation. We are driven to demonstrate the point that brilliant software and data engineering, which meets the precise requirements of business users is, not only possible, but is the standard against which all initiatives should be measured; without compromise.
We aim to add business value far in excess of the cost of delivery, project after project. We are constantly seeking to hire additional team members who, like us, celebrate continuous learning and who want to work in a high-respect environment to contribute significantly to delivering the change that our clients have come to expect of Digiterre.
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What We Do
Digiterre is a software and data engineering consultancy that enables technological and organisational transformation for many of the world’s leading organisations. We envisage, design and deliver software and data engineering solutions that users want, need and love to use.
Our key insight after 20 years of solving enterprise-level, technology-related challenges, is that much of the technology that organisations have implemented in prior years, has primarily addressed the symptoms relating to pressing matters such as satisfying urgent client reporting or regulatory compliance requirements, which in turn has created a culture of ad hoc solutions which require high levels of manual oversight or data manipulation. This, in turn, limits the rate of digital adoption in the organisation and creates "friction" which is both costly and cumbersome, hampering innovation.
The value that Digiterre brings to its clients is as follows:
- the key insight that most of the significant challenges that enterprises face now, relate in some way to creating a single view of the truth across the many and varied data sources that exist inside and outside the organisation,
- the realisation that most of the solutions to date, have concentrated on addressing only the symptoms and not the causes of these disparate data sources.
- proven technology for solving these challenges quickly and cost-effectively, in a manner that scales with your organisation and builds in scope for future change
- a pragmatic and highly agile way of creating the necessary levels of transformation developed over two decades of agile development and enterprise transformation, which seeks to engage a wide stakeholder community and to promote the transfer of knowledge and skills between the Digiterre and client teams, from the outset.
We have worked with over 130 clients across banking, Asset Management and Energy & Commodities Traders across Americas, EMEA and AsiaPac.
