Amazon Connect Architect

Maclean Moore

London

2 months ago

Applications closed

Related Jobs

View all jobs

Amazon Account Director

Account Manager - Creative Agency

Data Engineer - Machine Learning - Hybrid

Role: AWS Solution Architect

Location: UK (Hybrid / Remote)

Duration: 6 months (initially – view to extend)

Key Responsibilities:

Engaging with customers on a personal and technical level to understand their business requirements and address queries on AWS, Amazon Connect, Lex, Lambda, Kendra and other AI/ML services
Ensure customer success in designing, building and launching next-gen Amazon Connect based Omni Channel solutions, which integrate smoothly in cloud and hybrid operating models
Participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud, using Amazon Connect, Lex, Lambda and other AWS Cloud technologies
Ability to implement AWS based AI automation solutions on cloud contact centre technologies that can be leveraged to drive enhancements in business process and performance
Support broader digital transformation initiatives that underpin improvements in customer experience
Working closely with the Customers, Sales and Business Development Managers to present technical design and solutions
Carry out consulting engagements for customers to discover and define cloud strategies, architectures and define roadmap.
Collaborate with other functions and stakeholders to gain an in-depth understanding of Solutions and offerings, and enhance them to industry trends and customer/sectoral needs
Accountability for ensuring solution designs are aligned to enterprise architecture standards and principles, leverage common solutions and services, and meet financial targets

Key Skills:

Certified AWS Solution Architect, with real-life solution architecture experience
Proven knowledge of Contact Center technologies including Interactive Voice Response (IVR), Voice Biometrics, Natural Language Processing, Telephony Integration CTI, Automatic Call Distribution ACD, Call Recording and Automation using AI/ML.
Hands on experience to code and implement solutions using modern Web technologies including React and Node.js as well as REST API design on modern web stacks such as Node.js or Python
Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance
Well versed with AWS platform and technology services
Good communication skills and fluency in English. Have strong stakeholder management & engagement skills, effective at all levels
Extensive knowledge of infrastructure planning and provisioning, security considerations, design and deployment, as well as system life cycle management
Design and deployment of AWS / Hybrid solutions utilising a Cloud Native stack
Ability to explore the “art of the possible” and communicate the benefits and risks from multiple options, and do this in both non-technical and technical language
Demonstrate ability to work closely with multi-disciplined teams of product owners, architects, consultants, delivery and engineers
Push for innovation across all aspects of the job, not just technology but process and procedure, looking for ways to excel
A proven track record of delivering production systems at scale in a Contact Centre implementation, if not a large scale multi-channel digital implementation project
Be experienced working with both local & remote design and development resources, and possess excellent teamwork skills
A proven track record defining target architectures and defining development plans/roadmaps. Confident in designing, planning and estimating the work that needs to be done
Experience working with AWS cloud hosted solutions and environments
Strong in concepts of AWS Cloud architecture and experience of having built Cloud solutions in the past

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Mar 22, 2025

Careers

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Mar 20, 2025

Careers

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Mar 16, 2025

Jobs

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.